Constrained optimization scheme based on eclectic differential evolution algorithm
Xiong Sheng-wu · Computer Engineering and Applications Journal · 2007
A new heuristic scheme based on an eclectic differential evolution algorithm for constrained optimization is proposed.The new scheme uses two simple selection criteria based on feasibility to guide the search to the feasible region,and the boundary constraints are handled by periodic mode.Then it is applied to a set of well-known benchmark functions,and the results demonstrate that the new scheme converges faster and is more robust than several kindred methods that are representative of the state-of -the-art in the area.