A Brief Review on Multi-objective Differential Evolution

Author:

Ayaz Mohd.,Panwar Ankita,Pant Millie

Publisher

Springer Singapore

Reference52 articles.

1. Deb, K.: Multi-objective Optimization Using Evolutionary Algorithms, 16th edn. Wiley, New York (2001)

2. Fonseca, C.M., Fleming, P.J.: Genetic algorithms for multiobjective optimization : formulation, discussion and generalization. In: Proceedings of the ICGA-93: Fifth International Conference on Genetic Algorithms, 17–22 July 1993

3. Angus, D.: Crowding population-based ant colony optimisation for the multi-objective travelling salesman problem. In: IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, pp. 333–340 (2007)

4. Knowles, J., Corne, D.: The Pareto archived evolution strategy : a new baseline algorithm for pareto multiobjective optimisation. In: Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406), pp. 98–105 (1999)

5. Sarker, R., Abbass, H.A.: Differential evolution for solving multiobjective optimization problems. Asia-Pacific J. Oper. Res. 21(2), 225–240 (2004)

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