Chentoufi, Maryam Alami; Ellaia, Rachid A novel multi-population passing vehicle search algorithm based co-evolutionary cultural algorithm. (English) Zbl 1450.65052 Int. J. Math. Comput. Sci. 16, No. 1, 357-377 (2021). Summary: In order to fully use the advantages of the PVS algorithm and CA, a hybrid co-evolutionary cultural algorithm based on PVS is proposed. In this algorithm, a co-evolutionary mechanism between two cultural algorithms sub-populations is established to take full advantage of CA. The objective, like other meta-heuristics, is to find global optimum or quasi-optimal solutions for a given function. To verify the performance of the proposed algorithm, it will be tested on a set of benchmark functions. The results demonstrated the superior effectiveness of CA-PVS compared with other meta-heuristic optimization algorithms. MSC: 65K05 Numerical mathematical programming methods 65K10 Numerical optimization and variational techniques 90C59 Approximation methods and heuristics in mathematical programming Keywords:global optimization; hybrid co-evolutionary; passing vehicle search; hybridization; cultural algorithm; engineering design optimization PDFBibTeX XMLCite \textit{M. A. Chentoufi} and \textit{R. Ellaia}, Int. J. Math. Comput. Sci. 16, No. 1, 357--377 (2021; Zbl 1450.65052) Full Text: Link