An Evolutionary Algorithm with Lower-Dimensional Crossover for Solving Constrained Engineering Optimization Problems

This paper proposes an evolutionary algorithm with lower-dimensional-search crossover for constrained engineering optimization problems. Crossover operator of the algorithm searches a lower dimensional space determined by the parent points. It is favorable to enhance the performance of the algorithm. The algorithm has been used to solve 4 engineering optimization problems with constraints. The results show the performance of the proposed algorithm is better than that of some newly proposed algorithms in solving the 4 engineering optimization problems. Especially, for the Pressure Vessel Problem, its result is much better than that yielded by other known algorithms. The proposed algorithm is simple and readable as well.