A novel multi-population passing vehicle search algorithm based co-evolutionary cultural algorithm

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.