A Novel Mutation and Crossover Operator for Multi-objective Differential Evolution
Author:
Li Qingxia,Wei Wenhong
Publisher
Springer Singapore
Reference17 articles.
1. Lecture Notes in Computer Science;M Fleischer,2003
2. Storn, R., Price, K.: Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 11, 341–359 (1997)
3. Wei, W., Wang, J., Tao, M.: Constrained differential evolution with multiobjective sorting mutation operators for constrained optimization. Appl. Soft Comput. 33, 207–222 (2015)
4. Zhou, X., Zhang, G., Hao, X., Yu, L.: A novel differential evolution algorithm using local abstract convex underestimate strategy for global optimization. Comput. Oper. Res. 75, 132–149 (2016)
5. Rajesh, K., Bhuvanesh, A., Kannan, S., Thangaraj, C.: Least cost generation expansion planning with solar power plant using differential evolution algorithm. Renew. Energy 85, 677–686 (2016)