Multi-objective Biological Survival Optimizer with Application in Engineering Problems

Author:

Fu Xueliang,Zhang QingyangORCID

Publisher

Springer Nature Singapore

Reference20 articles.

1. Liang, J.F., Ban, X.S.: A survey on evolutionary constrained multiobjective optimization. IEEE Trans. Evol. Comput. 27(2), 201–221 (2022)

2. Deb, K.F., Pratap, A.S., Agarwal, S.T., Meyarivan, T.F.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6, 182–197 (2002)

3. Zitzler, E.F., Laumanns, M.S., Thiele, L.T.: SPEA2: improving the strength pareto evolutionary algorithm. Technical Report 103, Computer Engineering and Networks Laboratory (TIK), Switzerland (2001)

4. Coello Coello, C.A.F., Lechuga, M.S. .: MOPSO: a proposal for multiple objective particle swarm optimization. In: Proceedings of the 2002 Congress on Evolutionary Computation, pp. 1051–1056. CEC’02, USA (2002)

5. Mirjalili, S.F., Mirjalili, S.S., Saremi, S.T., Aljarah, I.F.: Grasshopper optimization algorithm for multi-objective optimization problems. Appl. Intell. 48, 805–820 (2018)

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