Netto Casotti, André Luiz; Krohling, Renato A. A multi-objective formulation for the team formation problem using Krippendorff’s disagreement and sociometric cohesion with Pareto-solutions obtained via evolutionary algorithms. (English) Zbl 07765552 Comput. Oper. Res. 161, Article ID 106444, 12 p. (2024). MSC: 90Bxx PDFBibTeX XMLCite \textit{A. L. Netto Casotti} and \textit{R. A. Krohling}, Comput. Oper. Res. 161, Article ID 106444, 12 p. (2024; Zbl 07765552) Full Text: DOI
Huang, Weixiong; Zou, Juan; Liu, Yuan; Yang, Shengxiang; Zheng, Jinhua Global and local feasible solution search for solving constrained multi-objective optimization. (English) Zbl 07752476 Inf. Sci. 649, Article ID 119467, 22 p. (2023). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{W. Huang} et al., Inf. Sci. 649, Article ID 119467, 22 p. (2023; Zbl 07752476) Full Text: DOI
Zhou, Jinlong; Zhang, Yinggui; Suganthan, P. N. Dual population approximate constrained Pareto front for constrained multiobjective optimization. (English) Zbl 07741670 Inf. Sci. 648, Article ID 119591, 13 p. (2023). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{J. Zhou} et al., Inf. Sci. 648, Article ID 119591, 13 p. (2023; Zbl 07741670) Full Text: DOI
Zhang, Yajie; Tian, Ye; Jiang, Hao; Zhang, Xingyi; Jin, Yaochu Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization. (English) Zbl 07741644 Inf. Sci. 648, Article ID 119547, 27 p. (2023). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Y. Zhang} et al., Inf. Sci. 648, Article ID 119547, 27 p. (2023; Zbl 07741644) Full Text: DOI
Botello-Aceves, Salvador; Hernandez-Aguirre, Arturo; Valdez, S. Ivvan The directed multi-objective estimation distribution algorithm (D-MOEDA). (English) Zbl 07736775 Math. Comput. Simul. 214, 334-351 (2023). MSC: 90-XX 68-XX PDFBibTeX XMLCite \textit{S. Botello-Aceves} et al., Math. Comput. Simul. 214, 334--351 (2023; Zbl 07736775) Full Text: DOI
Barkalov, Konstantin; Grishagin, Vladimir; Kozinov, Evgeny An accelerated algorithm for finding efficient solutions in multiobjective problems with black-box multiextremal criteria. (English) Zbl 1528.90238 Olenev, Nicholas (ed.) et al., Optimization and applications. 13th international conference, OPTIMA 2022, Petrovac, Montenegro, September 26–30, 2022. Revised selected papers. Cham: Springer. Lect. Notes Comput. Sci. 13781, 51-65 (2023). MSC: 90C29 90C26 PDFBibTeX XMLCite \textit{K. Barkalov} et al., Lect. Notes Comput. Sci. 13781, 51--65 (2023; Zbl 1528.90238) Full Text: DOI
Chuah, How Siang; Wong, Li-Pei; Hassan, Fadratul Hafinaz \( \delta\)MOEA/D-AWACD: improving constant-distance-based MOEA/D-AWA using a step function parameter control mechanism. (English) Zbl 07724147 SN Oper. Res. Forum 4, No. 3, Paper No. 51, 21 p. (2023). MSC: 90C29 PDFBibTeX XMLCite \textit{H. S. Chuah} et al., SN Oper. Res. Forum 4, No. 3, Paper No. 51, 21 p. (2023; Zbl 07724147) Full Text: DOI
Valero-Carreras, Daniel; Alcaraz, Javier; Landete, Mercedes Comparing two SVM models through different metrics based on the confusion matrix. (English) Zbl 07706552 Comput. Oper. Res. 152, Article ID 106131, 12 p. (2023). MSC: 90Bxx PDFBibTeX XMLCite \textit{D. Valero-Carreras} et al., Comput. Oper. Res. 152, Article ID 106131, 12 p. (2023; Zbl 07706552) Full Text: DOI
Kahagalage, Sanath; Turan, Hasan Hüseyin; Jalalvand, Fatemeh; Elsawah, Sondoss A novel graph-theoretical clustering approach to find a reduced set with extreme solutions of Pareto optimal solutions for multi-objective optimization problems. (English) Zbl 1527.90202 J. Glob. Optim. 86, No. 2, 467-494 (2023). MSC: 90C29 68R10 PDFBibTeX XMLCite \textit{S. Kahagalage} et al., J. Glob. Optim. 86, No. 2, 467--494 (2023; Zbl 1527.90202) Full Text: DOI
Petelin, Gašper; Antoniou, Margarita; Papa, Gregor Multi-objective approaches to ground station scheduling for optimization of communication with satellites. (English) Zbl 1517.90053 Optim. Eng. 24, No. 1, 147-184 (2023). MSC: 90B35 90C29 PDFBibTeX XMLCite \textit{G. Petelin} et al., Optim. Eng. 24, No. 1, 147--184 (2023; Zbl 1517.90053) Full Text: DOI
Wu, Zhongqiang; Xie, Zongkui A multi-objective lion swarm optimization based on multi-agent. (English) Zbl 1524.90350 J. Ind. Manag. Optim. 19, No. 2, 1447-1458 (2023). MSC: 90C59 90C29 90C26 PDFBibTeX XMLCite \textit{Z. Wu} and \textit{Z. Xie}, J. Ind. Manag. Optim. 19, No. 2, 1447--1458 (2023; Zbl 1524.90350) Full Text: DOI
Liu, Chun-An; Lei, Qian; Jia, Huamin Maximum entropy bi-objective model and its evolutionary algorithm for portfolio optimization. (English) Zbl 1512.91123 Asia-Pac. J. Oper. Res. 39, No. 6, Article ID 2250014, 26 p. (2022). MSC: 91G10 90C29 PDFBibTeX XMLCite \textit{C.-A. Liu} et al., Asia-Pac. J. Oper. Res. 39, No. 6, Article ID 2250014, 26 p. (2022; Zbl 1512.91123) Full Text: DOI
Mayo-Molina, Israel; Ma, Zhiwei; Leung, Juliana Y. Design of optimal operational parameters for steam-alternating-solvent processes in heterogeneous reservoirs – a multi-objective optimization approach. (English) Zbl 1502.86009 Comput. Geosci. 26, No. 6, 1503-1535 (2022). MSC: 86A32 86-10 PDFBibTeX XMLCite \textit{I. Mayo-Molina} et al., Comput. Geosci. 26, No. 6, 1503--1535 (2022; Zbl 1502.86009) Full Text: DOI
Venske, Sandra M.; Almeida, Carolina P.; Lüders, Ricardo; Delgado, Myriam R. Selection hyper-heuristics for the multi and many-objective quadratic assignment problem. (English) Zbl 1520.90185 Comput. Oper. Res. 148, Article ID 105961, 13 p. (2022). MSC: 90C27 90B35 90C59 PDFBibTeX XMLCite \textit{S. M. Venske} et al., Comput. Oper. Res. 148, Article ID 105961, 13 p. (2022; Zbl 1520.90185) Full Text: DOI
Zhao, Weiguo; Zhang, Zhenxing; Mirjalili, Seyedali; Wang, Liying; Khodadadi, Nima; Mirjalili, Seyed Mohammad An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems. (English) Zbl 1507.65109 Comput. Methods Appl. Mech. Eng. 398, Article ID 115223, 49 p. (2022). MSC: 65K10 PDFBibTeX XMLCite \textit{W. Zhao} et al., Comput. Methods Appl. Mech. Eng. 398, Article ID 115223, 49 p. (2022; Zbl 1507.65109) Full Text: DOI
Asghari, Mohammad; Mirzapour Al-e-hashem, Seyed Mohammad Javad; Rekik, Yacine Environmental and social implications of incorporating carpooling service on a customized bus system. (English) Zbl 1511.90027 Comput. Oper. Res. 142, Article ID 105724, 16 p. (2022). MSC: 90B06 90C29 90C59 PDFBibTeX XMLCite \textit{M. Asghari} et al., Comput. Oper. Res. 142, Article ID 105724, 16 p. (2022; Zbl 1511.90027) Full Text: DOI
Sánchez-Oro, Jesús; López-Sánchez, Ana D.; Colmenar, J. Manuel A multi-objective parallel variable neighborhood search for the bi-objective obnoxious p-median problem. (English) Zbl 1483.90157 Optim. Lett. 16, No. 1, 301-331 (2022). MSC: 90C29 90C27 90C59 PDFBibTeX XMLCite \textit{J. Sánchez-Oro} et al., Optim. Lett. 16, No. 1, 301--331 (2022; Zbl 1483.90157) Full Text: DOI
Feng, Wenqing; Gong, Dunwei; Yu, Zekuan Multi-objective evolutionary optimization based on online perceiving Pareto front characteristics. (English) Zbl 07791414 Inf. Sci. 581, 912-931 (2021). MSC: 90-XX 68-XX PDFBibTeX XMLCite \textit{W. Feng} et al., Inf. Sci. 581, 912--931 (2021; Zbl 07791414) Full Text: DOI
Li, Li; Yen, Gary G.; Sahoo, Avimanyu; Chang, Liang; Gu, Tianlong On the estimation of Pareto front and dimensional similarity in many-objective evolutionary algorithm. (English) Zbl 1524.90283 Inf. Sci. 563, 375-400 (2021). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{L. Li} et al., Inf. Sci. 563, 375--400 (2021; Zbl 1524.90283) Full Text: DOI
Huang, Weimin; Zhang, Wei Adaptive multi-objective particle swarm optimization using three-stage strategy with decomposition. (English) Zbl 1498.90211 Soft Comput. 25, No. 23, 14645-14672 (2021). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{W. Huang} and \textit{W. Zhang}, Soft Comput. 25, No. 23, 14645--14672 (2021; Zbl 1498.90211) Full Text: DOI
Ma, Haiping; Wei, Haoyu; Tian, Ye; Cheng, Ran; Zhang, Xingyi A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints. (English) Zbl 1484.90141 Inf. Sci. 560, 68-91 (2021). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{H. Ma} et al., Inf. Sci. 560, 68--91 (2021; Zbl 1484.90141) Full Text: DOI
Wang, Hao; Sun, Chaoli; Zhang, Guochen; Fieldsend, Jonathan E.; Jin, Yaochu Non-dominated sorting on performance indicators for evolutionary many-objective optimization. (English) Zbl 1484.90143 Inf. Sci. 551, 23-38 (2021). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{H. Wang} et al., Inf. Sci. 551, 23--38 (2021; Zbl 1484.90143) Full Text: DOI
Grimme, Christian; Kerschke, Pascal; Aspar, Pelin; Trautmann, Heike; Preuss, Mike; Deutz, André H.; Wang, Hao; Emmerich, Michael Peeking beyond peaks: challenges and research potentials of continuous multimodal multi-objective optimization. (English) Zbl 1511.90376 Comput. Oper. Res. 136, Article ID 105489, 17 p. (2021). MSC: 90C29 PDFBibTeX XMLCite \textit{C. Grimme} et al., Comput. Oper. Res. 136, Article ID 105489, 17 p. (2021; Zbl 1511.90376) Full Text: DOI Link
Zhang, Maoqing; Wang, Lei; Guo, Weian; Li, Wuzhao; Li, Dongyang; Hu, Bo; Wu, Qidi Many-objective evolutionary algorithm based on relative non-dominance matrix. (English) Zbl 1475.68481 Inf. Sci. 547, 963-983 (2021). MSC: 68W50 90C29 90C59 PDFBibTeX XMLCite \textit{M. Zhang} et al., Inf. Sci. 547, 963--983 (2021; Zbl 1475.68481) Full Text: DOI
Bidgoli, Azam Asilian; Ebrahimpour-Komleh, Hossein; Rahnamayan, Shahryar Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection. (English) Zbl 1475.68261 Inf. Sci. 547, 1-17 (2021). MSC: 68T05 62H30 68W50 90C29 90C59 PDFBibTeX XMLCite \textit{A. A. Bidgoli} et al., Inf. Sci. 547, 1--17 (2021; Zbl 1475.68261) Full Text: DOI
Wang, Rui; Ma, Wubin; Tan, Mao; Wu, Guohua; Wang, Ling; Gong, Dunwei; Xiong, Jian Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization. (English) Zbl 1475.90139 Inf. Sci. 546, 1148-1165 (2021). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{R. Wang} et al., Inf. Sci. 546, 1148--1165 (2021; Zbl 1475.90139) Full Text: DOI
Kou, Gang; Xiao, Hui; Cao, Minhao; Lee, Loo Hay Optimal computing budget allocation for the vector evaluated genetic algorithm in multi-objective simulation optimization. (English) Zbl 1480.90220 Automatica 129, Article ID 109599, 14 p. (2021). MSC: 90C29 PDFBibTeX XMLCite \textit{G. Kou} et al., Automatica 129, Article ID 109599, 14 p. (2021; Zbl 1480.90220) Full Text: DOI
Mamanis, Georgios Analyzing the performance of a two-tail-measures-utility multi-objective portfolio optimization model. (English) Zbl 1476.91157 SN Oper. Res. Forum 2, No. 4, Paper No. 58, 18 p. (2021). MSC: 91G10 91G15 68W50 PDFBibTeX XMLCite \textit{G. Mamanis}, SN Oper. Res. Forum 2, No. 4, Paper No. 58, 18 p. (2021; Zbl 1476.91157) Full Text: DOI
Long, Qiang; Wu, Xue; Wu, Changzhi Non-dominated sorting methods for multi-objective optimization: review and numerical comparison. (English) Zbl 1474.90410 J. Ind. Manag. Optim. 17, No. 2, 1001-1023 (2021). MSC: 90C29 90C26 90C59 PDFBibTeX XMLCite \textit{Q. Long} et al., J. Ind. Manag. Optim. 17, No. 2, 1001--1023 (2021; Zbl 1474.90410) Full Text: DOI
Zouache, Djaafar; Ben Abdelaziz, Fouad; Lefkir, Mira; Chalabi, Nour El-Houda Guided moth-flame optimiser for multi-objective optimization problems. (English) Zbl 1467.90070 Ann. Oper. Res. 296, No. 1-2, 877-899 (2021). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{D. Zouache} et al., Ann. Oper. Res. 296, No. 1--2, 877--899 (2021; Zbl 1467.90070) Full Text: DOI
Cuevas, Erik; Becerra, Héctor; Luque, Alberto Anisotropic diffusion filtering through multi-objective optimization. (English) Zbl 1524.94011 Math. Comput. Simul. 181, 410-429 (2021). MSC: 94A08 94A12 90C29 65K05 PDFBibTeX XMLCite \textit{E. Cuevas} et al., Math. Comput. Simul. 181, 410--429 (2021; Zbl 1524.94011) Full Text: DOI
Gaur, Abhinav; Talukder, A. K. M. Khaled; Deb, Kalyanmoy; Tiwari, Santosh; Xu, Simon; Jones, Don Unconventional optimization for achieving well-informed design solutions for the automobile industry. (English) Zbl 1523.90344 Eng. Optim. 52, No. 9, 1542-1560 (2020). MSC: 90C90 90C29 PDFBibTeX XMLCite \textit{A. Gaur} et al., Eng. Optim. 52, No. 9, 1542--1560 (2020; Zbl 1523.90344) Full Text: DOI
Ryzhikov, Ivan; Brester, Christina; Semenkin, Eugene Inverse mathematical modelling of hexadecane disintegration reaction with cooperative multi-objective genetic algorithms. (English) Zbl 1504.92181 Gusikhin, Oleg (ed.) et al., Informatics in control, automation and robotics. 14th international conference, ICINCO 2017 Madrid, Spain, July 26–28, 2017 Revised selected papers. Cham: Springer. Lect. Notes Electr. Eng. 495, 739-760 (2020). MSC: 92E20 93B30 93C05 68W50 90C29 92-10 93-10 PDFBibTeX XMLCite \textit{I. Ryzhikov} et al., Lect. Notes Electr. Eng. 495, 739--760 (2020; Zbl 1504.92181) Full Text: DOI
Liu, Songbai; Yu, Qiyuan; Lin, Qiuzhen; Tan, Kay Chen An adaptive clustering-based evolutionary algorithm for many-objective optimization problems. (English) Zbl 1474.90538 Inf. Sci. 537, 261-283 (2020). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{S. Liu} et al., Inf. Sci. 537, 261--283 (2020; Zbl 1474.90538) Full Text: DOI
Li, Juan; Li, Jie; Pardalos, Panos M.; Yang, Chengwei DMaOEA-\(\varepsilon\)C: decomposition-based many-objective evolutionary algorithm with the \(\varepsilon\)-constraint framework. (English) Zbl 1474.90535 Inf. Sci. 537, 203-226 (2020). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{J. Li} et al., Inf. Sci. 537, 203--226 (2020; Zbl 1474.90535) Full Text: DOI
Alexandrino, Patricia da Silva Lopes; Gomes, Guilherme Ferreira; Cunha, Sebastião Simões jun. A robust optimization for damage detection using multiobjective genetic algorithm, neural network and fuzzy decision making. (English) Zbl 1461.90130 Inverse Probl. Sci. Eng. 28, No. 1, 21-46 (2020). MSC: 90C29 90C70 90C90 74P10 PDFBibTeX XMLCite \textit{P. da S. L. Alexandrino} et al., Inverse Probl. Sci. Eng. 28, No. 1, 21--46 (2020; Zbl 1461.90130) Full Text: DOI
Li, Wenhua; Wang, Rui; Zhang, Tao; Ming, Mengjun; Li, Kaiwen Reinvestigation of evolutionary many-objective optimization: focus on the Pareto knee front. (English) Zbl 1458.90577 Inf. Sci. 522, 193-213 (2020). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{W. Li} et al., Inf. Sci. 522, 193--213 (2020; Zbl 1458.90577) Full Text: DOI
Wang, Xilu; Jin, Yaochu; Schmitt, Sebastian; Olhofer, Markus An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. (English) Zbl 1457.90150 Inf. Sci. 519, 317-331 (2020). MSC: 90C29 PDFBibTeX XMLCite \textit{X. Wang} et al., Inf. Sci. 519, 317--331 (2020; Zbl 1457.90150) Full Text: DOI
Luo, Jianping; Huang, Xiongwen; Yang, Yun; Li, Xia; Wang, Zhenkun; Feng, Jiqiang A many-objective particle swarm optimizer based on indicator and direction vectors for many-objective optimization. (English) Zbl 1457.90146 Inf. Sci. 514, 166-202 (2020). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{J. Luo} et al., Inf. Sci. 514, 166--202 (2020; Zbl 1457.90146) Full Text: DOI
Ma, Lianbo; Wang, Rui; Chen, Shengminjie; Cheng, Shi; Wang, Xingwei; Lin, Zhiwei; Shi, Yuhui; Huang, Min A novel many-objective evolutionary algorithm based on transfer matrix with kriging model. (English) Zbl 1456.90145 Inf. Sci. 509, 437-456 (2020). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{L. Ma} et al., Inf. Sci. 509, 437--456 (2020; Zbl 1456.90145) Full Text: DOI Link
Liu, Ruochen; Zhou, Runan; Ren, Rui; Liu, Jiangdi; Jiao, Licheng Multi-layer interaction preference based multi-objective evolutionary algorithm through decomposition. (English) Zbl 1456.90142 Inf. Sci. 509, 420-436 (2020). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{R. Liu} et al., Inf. Sci. 509, 420--436 (2020; Zbl 1456.90142) Full Text: DOI
Liu, Zhi-Zhong; Wang, Yong; Huang, Pei-Qiu AnD: a many-objective evolutionary algorithm with angle-based selection and shift-based density estimation. (English) Zbl 1456.90144 Inf. Sci. 509, 400-419 (2020). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Z.-Z. Liu} et al., Inf. Sci. 509, 400--419 (2020; Zbl 1456.90144) Full Text: DOI arXiv Link
Liu, Yuan; Zhu, Ningbo; Li, Kenli; Li, Miqing; Zheng, Jinhua; Li, Keqin An angle dominance criterion for evolutionary many-objective optimization. (English) Zbl 1456.90143 Inf. Sci. 509, 376-399 (2020). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Y. Liu} et al., Inf. Sci. 509, 376--399 (2020; Zbl 1456.90143) Full Text: DOI Link
Bose, Amarnath Using genetic algorithm to improve consistency and retain authenticity in the analytic hierarchy process. (English) Zbl 07319770 Opsearch 57, No. 4, 1070-1092 (2020). MSC: 90Bxx PDFBibTeX XMLCite \textit{A. Bose}, Opsearch 57, No. 4, 1070--1092 (2020; Zbl 07319770) Full Text: DOI
Vo-Duy, T.; Duong-Gia, D.; Ho-Huu, V.; Nguyen-Thoi, T. An effective couple method for reliability-based multi-objective optimization of truss structures with static and dynamic constraints. (English) Zbl 07205471 Int. J. Comput. Methods 17, No. 6, Article ID 1950016, 33 p. (2020). MSC: 74-XX 65-XX PDFBibTeX XMLCite \textit{T. Vo-Duy} et al., Int. J. Comput. Methods 17, No. 6, Article ID 1950016, 33 p. (2020; Zbl 07205471) Full Text: DOI
Raimundo, Marcos M.; Ferreira, Paulo A. V.; Von Zuben, Fernando J. An extension of the non-inferior set estimation algorithm for many objectives. (English) Zbl 1441.90150 Eur. J. Oper. Res. 284, No. 1, 53-66 (2020). MSC: 90C29 PDFBibTeX XMLCite \textit{M. M. Raimundo} et al., Eur. J. Oper. Res. 284, No. 1, 53--66 (2020; Zbl 1441.90150) Full Text: DOI
Abouhawwash, Mohamed; Jameel, Mohammed; Deb, Kalyanmoy A smooth proximity measure for optimality in multi-objective optimization using Benson’s method. (English) Zbl 1458.90566 Comput. Oper. Res. 117, Article ID 104900, 16 p. (2020). MSC: 90C29 90C46 PDFBibTeX XMLCite \textit{M. Abouhawwash} et al., Comput. Oper. Res. 117, Article ID 104900, 16 p. (2020; Zbl 1458.90566) Full Text: DOI
Gohardani, Saeed Alirezanejad; Bagherian, Mehri; Vaziri, Hamidreza A multi-objective imperialist competitive algorithm (MOICA) for finding motifs in DNA sequences. (English) Zbl 1497.92184 Math. Biosci. Eng. 16, No. 3, 1575-1596 (2019). MSC: 92D20 90C29 PDFBibTeX XMLCite \textit{S. A. Gohardani} et al., Math. Biosci. Eng. 16, No. 3, 1575--1596 (2019; Zbl 1497.92184) Full Text: DOI
Wang, Peng; Zhu, Wen; Liu, Haihua; Liao, Bo; Cai, Lijun; Wei, Xiaohui; Ren, Siqi; Yang, Jialiang A new resource allocation strategy based on the relationship between subproblems for MOEA/D. (English) Zbl 1453.90156 Inf. Sci. 501, 337-362 (2019). MSC: 90C29 68W50 90C59 91B32 PDFBibTeX XMLCite \textit{P. Wang} et al., Inf. Sci. 501, 337--362 (2019; Zbl 1453.90156) Full Text: DOI
Zou, Juan; Fu, Liuwei; Yang, Shengxiang; Zheng, Jinhua; Ruan, Gan; Pei, Tingrui; Wang, Lei An adaptation reference-point-based multiobjective evolutionary algorithm. (English) Zbl 1451.90148 Inf. Sci. 488, 41-57 (2019). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{J. Zou} et al., Inf. Sci. 488, 41--57 (2019; Zbl 1451.90148) Full Text: DOI Link
Liu, Yongqi; Qin, Hui; Zhang, Zhendong; Yao, Liqiang; Wang, Chao; Mo, Li; Ouyang, Shuo; Li, Jie A region search evolutionary algorithm for many-objective optimization. (English) Zbl 1451.90145 Inf. Sci. 488, 19-40 (2019). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{Y. Liu} et al., Inf. Sci. 488, 19--40 (2019; Zbl 1451.90145) Full Text: DOI
Bao, Chunteng; Xu, Lihong; Goodman, Erik D. A novel two-archive matching-based algorithm for multi- and many-objective optimization. (English) Zbl 1451.90170 Inf. Sci. 497, 106-128 (2019). MSC: 90C59 68W50 90C29 PDFBibTeX XMLCite \textit{C. Bao} et al., Inf. Sci. 497, 106--128 (2019; Zbl 1451.90170) Full Text: DOI
Łapa, Krystian Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics. (English) Zbl 1448.90086 Inf. Sci. 489, 193-204 (2019). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{K. Łapa}, Inf. Sci. 489, 193--204 (2019; Zbl 1448.90086) Full Text: DOI
Bai, Hui; Zheng, Jinhua; Yu, Guo; Yang, Shengxiang; Zou, Juan A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation. (English) Zbl 1443.90307 Inf. Sci. 478, 186-207 (2019). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{H. Bai} et al., Inf. Sci. 478, 186--207 (2019; Zbl 1443.90307) Full Text: DOI Link
Khan, Burhan; Hanoun, Samer; Johnstone, Michael; Lim, Chee Peng; Creighton, Douglas; Nahavandi, Saeid A scalarization-based dominance evolutionary algorithm for many-objective optimization. (English) Zbl 1441.90148 Inf. Sci. 474, 236-252 (2019). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{B. Khan} et al., Inf. Sci. 474, 236--252 (2019; Zbl 1441.90148) Full Text: DOI
Santiago, Alejandro; Dorronsoro, Bernabé; Nebro, Antonio J.; Durillo, Juan J.; Castillo, Oscar; Fraire, Héctor J. A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME. (English) Zbl 1441.90152 Inf. Sci. 471, 233-251 (2019). MSC: 90C29 90C59 90C70 PDFBibTeX XMLCite \textit{A. Santiago} et al., Inf. Sci. 471, 233--251 (2019; Zbl 1441.90152) Full Text: DOI
Zhou, Yuren; He, Xiaoyu; Xiang, Yi; Cai, Shaowei A set of new multi- and many-objective test problems for continuous optimization and a comprehensive experimental evaluation. (English) Zbl 1482.90208 Artif. Intell. 276, 105-129 (2019). MSC: 90C29 PDFBibTeX XMLCite \textit{Y. Zhou} et al., Artif. Intell. 276, 105--129 (2019; Zbl 1482.90208) Full Text: DOI
Wang, Yechuang; Cui, Zhihua; Li, Wuchao A novel coupling algorithm based on glowworm swarm optimization and bacterial foraging algorithm for solving multi-objective optimization problems. (English) Zbl 1461.90142 Algorithms (Basel) 12, No. 3, Paper No. 61, 15 p. (2019). MSC: 90C29 68T20 68W40 90C59 PDFBibTeX XMLCite \textit{Y. Wang} et al., Algorithms (Basel) 12, No. 3, Paper No. 61, 15 p. (2019; Zbl 1461.90142) Full Text: DOI
Chen, Chen; Wei, Yu Robust multiobjective portfolio optimization: a set order relations approach. (English) Zbl 1426.90225 J. Comb. Optim. 38, No. 1, 21-49 (2019). MSC: 90C29 91G10 90C59 PDFBibTeX XMLCite \textit{C. Chen} and \textit{Y. Wei}, J. Comb. Optim. 38, No. 1, 21--49 (2019; Zbl 1426.90225) Full Text: DOI
Li, Hao-ran; He, Fa-zhi; Yan, Xiao-hu IBEA-SVM: an indicator-based evolutionary algorithm based on pre-selection with classification guided by SVM. (English) Zbl 1424.90236 Appl. Math., Ser. B (Engl. Ed.) 34, No. 1, 1-26 (2019). MSC: 90C29 62H30 65K05 PDFBibTeX XMLCite \textit{H.-r. Li} et al., Appl. Math., Ser. B (Engl. Ed.) 34, No. 1, 1--26 (2019; Zbl 1424.90236) Full Text: DOI
Palomo-Martínez, Pamela J.; Salazar-Aguilar, M. Angélica The bi-objective traveling purchaser problem with deliveries. (English) Zbl 1403.90655 Eur. J. Oper. Res. 273, No. 2, 608-622 (2019). MSC: 90C59 90C29 90C35 PDFBibTeX XMLCite \textit{P. J. Palomo-Martínez} and \textit{M. A. Salazar-Aguilar}, Eur. J. Oper. Res. 273, No. 2, 608--622 (2019; Zbl 1403.90655) Full Text: DOI
Emmerich, Michael T. M.; Deutz, André H. A tutorial on multiobjective optimization: fundamentals and evolutionary methods. (English) Zbl 07772455 Nat. Comput. 17, No. 3, 585-609 (2018). MSC: 90C29 68W50 90C59 PDFBibTeX XMLCite \textit{M. T. M. Emmerich} and \textit{A. H. Deutz}, Nat. Comput. 17, No. 3, 585--609 (2018; Zbl 07772455) Full Text: DOI
Clempner, Julio B.; Poznyak, Alexander S. Using the Manhattan distance for computing the multiobjective Markov chains problem. (English) Zbl 1499.90193 Int. J. Comput. Math. 95, No. 11, 2269-2286 (2018). MSC: 90C29 90C40 PDFBibTeX XMLCite \textit{J. B. Clempner} and \textit{A. S. Poznyak}, Int. J. Comput. Math. 95, No. 11, 2269--2286 (2018; Zbl 1499.90193) Full Text: DOI
Al-Dujaili, Abdullah; Suresh, S. Multi-objective simultaneous optimistic optimization. (English) Zbl 1436.90129 Inf. Sci. 424, 159-174 (2018). MSC: 90C29 90C56 PDFBibTeX XMLCite \textit{A. Al-Dujaili} and \textit{S. Suresh}, Inf. Sci. 424, 159--174 (2018; Zbl 1436.90129) Full Text: DOI arXiv
Luo, Jungang; Sun, Xiaomei; Qi, Yutao; Xie, Jiancang Approximating the irregularly shaped Pareto front of multi-objective reservoir flood control operation problem. (English) Zbl 1480.90262 Appl. Math. Modelling 54, 502-516 (2018). MSC: 90C90 65K05 90C29 PDFBibTeX XMLCite \textit{J. Luo} et al., Appl. Math. Modelling 54, 502--516 (2018; Zbl 1480.90262) Full Text: DOI
Luo, Naili; Li, Xia; Lin, Qiuzhen Objective reduction for many-objective optimization problems using objective subspace extraction. (English) Zbl 1398.90156 Soft Comput. 22, No. 4, 1159-1173 (2018). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{N. Luo} et al., Soft Comput. 22, No. 4, 1159--1173 (2018; Zbl 1398.90156) Full Text: DOI
Clempner, Julio B.; Poznyak, Alexander S. Constructing the Pareto front for multi-objective Markov chains handling a strong Pareto policy approach. (English) Zbl 1393.90107 Comput. Appl. Math. 37, No. 1, 567-591 (2018). MSC: 90C29 90C40 47A52 65F22 PDFBibTeX XMLCite \textit{J. B. Clempner} and \textit{A. S. Poznyak}, Comput. Appl. Math. 37, No. 1, 567--591 (2018; Zbl 1393.90107) Full Text: DOI
Zheng, Yaochen; Chen, Jianqiao A modified multi-objective particle swarm optimization approach and its application to the design of a deepwater composite riser. (English) Zbl 1390.90636 Acta Mech. Sin. 34, No. 2, 275-284 (2018). MSC: 90C90 90C59 90C29 74P10 PDFBibTeX XMLCite \textit{Y. Zheng} and \textit{J. Chen}, Acta Mech. Sin. 34, No. 2, 275--284 (2018; Zbl 1390.90636) Full Text: DOI
Zouache, Djaafar; Moussaoui, Abdelouahab; Ben Abdelaziz, Fouad A cooperative swarm intelligence algorithm for multi-objective discrete optimization with application to the Knapsack problem. (English) Zbl 1380.90294 Eur. J. Oper. Res. 264, No. 1, 74-88 (2018). MSC: 90C59 90C29 90C10 90C27 PDFBibTeX XMLCite \textit{D. Zouache} et al., Eur. J. Oper. Res. 264, No. 1, 74--88 (2018; Zbl 1380.90294) Full Text: DOI
Zhou, Jianzhong; Wang, Chao; Li, Yuanzheng; Wang, Ping; Li, Chunlong; Lu, Peng; Mo, Li A multi-objective multi-population ant colony optimization for economic emission dispatch considering power system security. (English) Zbl 1446.90037 Appl. Math. Modelling 45, 684-704 (2017). MSC: 90-10 90C29 90C59 PDFBibTeX XMLCite \textit{J. Zhou} et al., Appl. Math. Modelling 45, 684--704 (2017; Zbl 1446.90037) Full Text: DOI
Suo, Xin-Shi; Yu, Xiong-Qing; Li, Hong-Shuang Subset simulation for multi-objective optimization. (English) Zbl 1443.90069 Appl. Math. Modelling 44, 425-445 (2017). MSC: 90-10 90C29 PDFBibTeX XMLCite \textit{X.-S. Suo} et al., Appl. Math. Modelling 44, 425--445 (2017; Zbl 1443.90069) Full Text: DOI
Datta, Shounak; Ghosh, Abhiroop; Sanyal, Krishnendu; Das, Swagatam A radial boundary intersection aided interior point method for multi-objective optimization. (English) Zbl 1428.90175 Inf. Sci. 377, 1-16 (2017). MSC: 90C51 90C29 PDFBibTeX XMLCite \textit{S. Datta} et al., Inf. Sci. 377, 1--16 (2017; Zbl 1428.90175) Full Text: DOI
Gong, Maoguo; Jiang, Xiangming; Li, Hao Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework. (English) Zbl 1405.94024 Front. Comput. Sci. 11, No. 3, 362-391 (2017). MSC: 94A12 90C29 90C59 PDFBibTeX XMLCite \textit{M. Gong} et al., Front. Comput. Sci. 11, No. 3, 362--391 (2017; Zbl 1405.94024) Full Text: DOI
Jia, Chunhua; Zhu, Hong An improved multiobjective particle swarm optimization based on culture algorithms. (English) Zbl 1461.90136 Algorithms (Basel) 10, No. 2, Paper No. 46, 11 p. (2017). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{C. Jia} and \textit{H. Zhu}, Algorithms (Basel) 10, No. 2, Paper No. 46, 11 p. (2017; Zbl 1461.90136) Full Text: DOI
Zheng, Wei; Tan, Yanyan; Fang, Xiaonan; Li, Shengtao An improved MOEA/D with optimal DE schemes for many-objective optimization problems. (English) Zbl 1433.90154 Algorithms (Basel) 10, No. 3, Paper No. 86, 23 p. (2017). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{W. Zheng} et al., Algorithms (Basel) 10, No. 3, Paper No. 86, 23 p. (2017; Zbl 1433.90154) Full Text: DOI
Greiner, David; Periaux, Jacques; Emperador, Jose M.; Galván, Blas; Winter, Gabriel Game theory based evolutionary algorithms: a review with Nash applications in structural engineering optimization problems. (English) Zbl 1394.90566 Arch. Comput. Methods Eng. 24, No. 4, 703-750 (2017). MSC: 90C59 90C29 91A80 74Pxx PDFBibTeX XMLCite \textit{D. Greiner} et al., Arch. Comput. Methods Eng. 24, No. 4, 703--750 (2017; Zbl 1394.90566) Full Text: DOI
Abouhawwash, Mohamed; Seada, Haitham; Deb, Kalyanmoy Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search. (English) Zbl 1391.90541 Comput. Oper. Res. 79, 331-346 (2017). MSC: 90C29 90C30 90C59 90C31 PDFBibTeX XMLCite \textit{M. Abouhawwash} et al., Comput. Oper. Res. 79, 331--346 (2017; Zbl 1391.90541) Full Text: DOI
Filatovas, Ernestas; Lančinskas, Algirdas; Kurasova, Olga; Žilinskas, Julius A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search. (English) Zbl 1390.90582 CEJOR, Cent. Eur. J. Oper. Res. 25, No. 4, 859-878 (2017). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{E. Filatovas} et al., CEJOR, Cent. Eur. J. Oper. Res. 25, No. 4, 859--878 (2017; Zbl 1390.90582) Full Text: DOI
Capitanescu, F.; Marvuglia, A.; Benetto, E.; Ahmadi, A.; Tiruta-Barna, L. Linear programming-based directed local search for expensive multi-objective optimization problems: application to drinking water production plants. (English) Zbl 1403.90598 Eur. J. Oper. Res. 262, No. 1, 322-334 (2017). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{F. Capitanescu} et al., Eur. J. Oper. Res. 262, No. 1, 322--334 (2017; Zbl 1403.90598) Full Text: DOI
Liu, Ruochen; Li, Jianxia; Fan, Jing; Mu, Caihong; Jiao, Licheng A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization. (English) Zbl 1403.90611 Eur. J. Oper. Res. 261, No. 3, 1028-1051 (2017). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{R. Liu} et al., Eur. J. Oper. Res. 261, No. 3, 1028--1051 (2017; Zbl 1403.90611) Full Text: DOI
Lwin, Khin T.; Qu, Rong; MacCarthy, Bart L. Mean-VaR portfolio optimization: a nonparametric approach. (English) Zbl 1403.91317 Eur. J. Oper. Res. 260, No. 2, 751-766 (2017). MSC: 91G10 90C29 PDFBibTeX XMLCite \textit{K. T. Lwin} et al., Eur. J. Oper. Res. 260, No. 2, 751--766 (2017; Zbl 1403.91317) Full Text: DOI Link
Tian, Mingzheng; Hou, Kuolin; Wang, Zhaowei; Wan, Zhongping An improved cuckoo search algorithm for multi-objective optimization. (English) Zbl 1399.90302 Wuhan Univ. J. Nat. Sci. 22, No. 4, 289-294 (2017). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{M. Tian} et al., Wuhan Univ. J. Nat. Sci. 22, No. 4, 289--294 (2017; Zbl 1399.90302) Full Text: DOI
Wang, Honggang Multi-objective retrospective optimization using stochastic zigzag search. (English) Zbl 1380.90248 Eur. J. Oper. Res. 263, No. 3, 946-960 (2017). MSC: 90C29 90C59 90C15 PDFBibTeX XMLCite \textit{H. Wang}, Eur. J. Oper. Res. 263, No. 3, 946--960 (2017; Zbl 1380.90248) Full Text: DOI
Salgueiro, Yamisleydi; Toro, Jorge L.; Bello, Rafael; Falcon, Rafael Multiobjective variable mesh optimization. (English) Zbl 1382.90101 Ann. Oper. Res. 258, No. 2, 869-893 (2017). MSC: 90C29 90C59 65K10 PDFBibTeX XMLCite \textit{Y. Salgueiro} et al., Ann. Oper. Res. 258, No. 2, 869--893 (2017; Zbl 1382.90101) Full Text: DOI
Ortega, Gloria; Filatovas, Ernestas; Garzón, E. M.; Casado, L. G. Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU. (English) Zbl 1382.90099 J. Glob. Optim. 69, No. 3, 607-627 (2017). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{G. Ortega} et al., J. Glob. Optim. 69, No. 3, 607--627 (2017; Zbl 1382.90099) Full Text: DOI
Zuo, Cili; Wu, Lianghong; Zeng, Zhao-Fu; Wei, Hua-Liang Stochastic fractal based multiobjective fruit fly optimization. (English) Zbl 1367.93728 Int. J. Appl. Math. Comput. Sci. 27, No. 2, 417-433 (2017). MSC: 93E20 90C15 90C29 PDFBibTeX XMLCite \textit{C. Zuo} et al., Int. J. Appl. Math. Comput. Sci. 27, No. 2, 417--433 (2017; Zbl 1367.93728) Full Text: DOI
Redondo, J. L.; Fernández, J.; Ortigosa, P. M. FEMOEA: a fast and efficient multi-objective evolutionary algorithm. (English) Zbl 1364.90306 Math. Methods Oper. Res. 85, No. 1, 113-135 (2017). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{J. L. Redondo} et al., Math. Methods Oper. Res. 85, No. 1, 113--135 (2017; Zbl 1364.90306) Full Text: DOI
Yuxin, Zhao; Shenghong, Li; Feng, Jin Overlapping community detection in complex networks using multi-objective evolutionary algorithm. (English) Zbl 1359.90100 Comput. Appl. Math. 36, No. 1, 749-768 (2017). MSC: 90C25 90C29 PDFBibTeX XMLCite \textit{Z. Yuxin} et al., Comput. Appl. Math. 36, No. 1, 749--768 (2017; Zbl 1359.90100) Full Text: DOI
Iturriaga, Santiago; Dorronsoro, Bernabé; Nesmachnow, Sergio Multiobjective evolutionary algorithms for energy and service level scheduling in a federation of distributed datacenters. (English) Zbl 1358.90124 Int. Trans. Oper. Res. 24, No. 1-2, 199-228 (2017). MSC: 90C29 90B35 90C59 PDFBibTeX XMLCite \textit{S. Iturriaga} et al., Int. Trans. Oper. Res. 24, No. 1--2, 199--228 (2017; Zbl 1358.90124) Full Text: DOI
Kukkonen, Saku; Coello Coello, Carlos A. Generalized differential evolution for numerical and evolutionary optimization. (English) Zbl 1354.90140 Schütze, Oliver (ed.) et al., NEO 2015. Results of the numerical and evolutionary optimization workshop NEO 2015 held at September 23–25 2015 in Tijuana, Mexico. Cham: Springer (ISBN 978-3-319-44002-6/hbk; 978-3-319-44003-3/ebook). Studies in Computational Intelligence 663, 253-279 (2017). MSC: 90C30 90C26 90C59 65K05 PDFBibTeX XMLCite \textit{S. Kukkonen} and \textit{C. A. Coello Coello}, Stud. Comput. Intell. 663, 253--279 (2017; Zbl 1354.90140) Full Text: DOI
Wang, Hao; Ren, Yiyi; Deutz, André; Emmerich, Michael On steering dominated points in hypervolume indicator gradient ascent for bi-objective optimization. (English) Zbl 1354.90132 Schütze, Oliver (ed.) et al., NEO 2015. Results of the numerical and evolutionary optimization workshop NEO 2015 held at September 23–25 2015 in Tijuana, Mexico. Cham: Springer (ISBN 978-3-319-44002-6/hbk; 978-3-319-44003-3/ebook). Studies in Computational Intelligence 663, 175-203 (2017). MSC: 90C29 PDFBibTeX XMLCite \textit{H. Wang} et al., Stud. Comput. Intell. 663, 175--203 (2017; Zbl 1354.90132) Full Text: DOI
Feliot, Paul; Bect, Julien; Vazquez, Emmanuel A Bayesian approach to constrained single- and multi-objective optimization. (English) Zbl 1390.90441 J. Glob. Optim. 67, No. 1-2, 97-133 (2017). MSC: 90C26 90C29 PDFBibTeX XMLCite \textit{P. Feliot} et al., J. Glob. Optim. 67, No. 1--2, 97--133 (2017; Zbl 1390.90441) Full Text: DOI arXiv
Clempner, Julio B.; Poznyak, Alexander S. Solving the Pareto front for multiobjective Markov chains using the minimum Euclidean distance gradient-based optimization method. (English) Zbl 1527.90196 Math. Comput. Simul. 119, 142-160 (2016). MSC: 90C29 60J20 PDFBibTeX XMLCite \textit{J. B. Clempner} and \textit{A. S. Poznyak}, Math. Comput. Simul. 119, 142--160 (2016; Zbl 1527.90196) Full Text: DOI
Singh, Prashant; Couckuyt, Ivo; Elsayed, Khairy; Deschrijver, Dirk; Dhaene, Tom Shape optimization of a cyclone separator using multi-objective surrogate-based optimization. (English) Zbl 1459.90232 Appl. Math. Modelling 40, No. 5-6, 4248-4259 (2016). MSC: 90C90 90C29 49Q10 PDFBibTeX XMLCite \textit{P. Singh} et al., Appl. Math. Modelling 40, No. 5--6, 4248--4259 (2016; Zbl 1459.90232) Full Text: DOI
Martí, Luis; García, Jesús; Berlanga, Antonio; Molina, José M. A stopping criterion for multi-objective optimization evolutionary algorithms. (English) Zbl 1428.90184 Inf. Sci. 367-368, 700-718 (2016). MSC: 90C59 90C29 PDFBibTeX XMLCite \textit{L. Martí} et al., Inf. Sci. 367--368, 700--718 (2016; Zbl 1428.90184) Full Text: DOI Link
Zhang, Xingyi; Li, Jun; Zhang, Lei A multi-objective membrane algorithm guided by the skin membrane. (English) Zbl 1415.68211 Nat. Comput. 15, No. 4, 597-610 (2016). MSC: 68T20 68Q05 68Q10 90C59 PDFBibTeX XMLCite \textit{X. Zhang} et al., Nat. Comput. 15, No. 4, 597--610 (2016; Zbl 1415.68211) Full Text: DOI
Martí, Luis; García, Jesús; Berlanga, Antonio; Molina, José M. MONEDA: scalable multi-objective optimization with a neural network-based estimation of distribution algorithm. (English) Zbl 1369.90161 J. Glob. Optim. 66, No. 4, 729-768 (2016). MSC: 90C29 90C59 PDFBibTeX XMLCite \textit{L. Martí} et al., J. Glob. Optim. 66, No. 4, 729--768 (2016; Zbl 1369.90161) Full Text: DOI Link
Lančinskas, Algirdas; Fernández, Pascual; Pelegrín, Blas; Žilinskas, Julius Estimating the Pareto front of a hard bi-criterion competitive facility location problem. (English) Zbl 1355.90036 Pardalos, Panos M. (ed.) et al., Advances in stochastic and deterministic global optimization. Cham: Springer (ISBN 978-3-319-29973-0/hbk; 978-3-319-29975-4/ebook). Springer Optimization and Its Applications 107, 255-272 (2016). MSC: 90B80 90C29 PDFBibTeX XMLCite \textit{A. Lančinskas} et al., Springer Optim. Appl. 107, 255--272 (2016; Zbl 1355.90036) Full Text: DOI
Lin, Jianhua; Liu, Min; Hao, Jinghua; Jiang, Shenglong A multi-objective optimization approach for integrated production planning under interval uncertainties in the steel industry. (English) Zbl 1349.90592 Comput. Oper. Res. 72, 189-203 (2016). MSC: 90B90 90C29 PDFBibTeX XMLCite \textit{J. Lin} et al., Comput. Oper. Res. 72, 189--203 (2016; Zbl 1349.90592) Full Text: DOI
Lei, Hongtao; Wang, Rui; Laporte, Gilbert Solving a multi-objective dynamic stochastic districting and routing problem with a co-evolutionary algorithm. (English) Zbl 1349.90098 Comput. Oper. Res. 67, 12-24 (2016). MSC: 90B06 90B10 90C15 90C29 90C59 PDFBibTeX XMLCite \textit{H. Lei} et al., Comput. Oper. Res. 67, 12--24 (2016; Zbl 1349.90098) Full Text: DOI