A Reference Vector Guided Evolutionary Algorithm with Diversity and Convergence Enhancement Strategies for Many-Objective Optimization

Author:

Yang Lei,Zhang Yuanye,Cao Jiale

Publisher

Springer Nature Singapore

Reference21 articles.

1. Farina, M., Amato, P.: On the optimal solution definition for many-criteria optimization problems. In: Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622), pp. 233–238. IEEE (2002)

2. Ishibuchi, H., Tsukamoto, N., Nojima, Y.: Evolutionary many-objective optimization: a short review. In: IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pp. 2419–2426. IEEE (2008)

3. Zhang, Q., Li, H.: MOEA/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans. Evol. Comput. 11(6), 712–731 (2007)

4. Xu, Y., Zhang, H., Zeng, X., Nojima, Y.: An adaptive convergence enhanced evolutionary algorithm for many-objective optimization problems. Swarm Evol. Comput. 75, 101180 (2022)

5. Liu, H.L., Gu, F., Zhang, Q.: Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems. IEEE Trans. Evol. Comput. 18(3), 450–455 (2013)

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