Liu, Yuan; Zhang, Zaifang; Yao, Di; Chu, Xuening Extraction of product service system configuration rules based on multi-objective DPSO algorithm. (Chinese. English summary) Zbl 1340.90207 J. Shanghai Jiaotong Univ. (Chin. Ed.) 49, No. 8, 1123-1130 (2015). Summary: To assist engineers to map customer requirements into technical characteristics of product service system effectively, a kind of rule extraction method combining DPSO with Pareto is proposed. The method includes establishing the model of product service system configuration rules and constructing the model of Pareto-DPSO. In Pareto-DPSO, continuous particle is mapped into a decimal discrete space using the frequency initialization method based on Sobol sequence and the particle discrete update method; Pareto is used to obtain the optimal set of rules by evaluating multiple target functions. By comparing with OMOPSO and DPSO, the feasibility and validity of the proposed method are verified by an example of automotive product service system configuration design. MSC: 90C29 Multi-objective and goal programming 90C59 Approximation methods and heuristics in mathematical programming Keywords:product service system; configuration rules; multi-objective optimization; discrete particle swarm optimization PDF BibTeX XML Cite \textit{Y. Liu} et al., J. Shanghai Jiaotong Univ. (Chin. Ed.) 49, No. 8, 1123--1130 (2015; Zbl 1340.90207) Full Text: DOI