A model-based many-objective evolutionary algorithm with multiple reference vectors

Author:

Gholamnezhad Pezhman,Broumandnia AliORCID,Seydi Vahid

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference32 articles.

1. Cheng, R.: Nature inspired optimization of large problems. Ph.D. thesis, University of Surrey (2016)

2. Cheng, R., He, C., Jin, Y., Yao, X.: Model-based evolutionary algorithms: a short survey. Complex Intell. Syst. 4(4), 283–292 (2018)

3. Hua, Y., Jin, Y., Hao, K., Cao, Y.: Generating multiple reference vectors for a class of many-objective optimization problems with degenerate pareto fronts. Complex Intell. Syst. 6, 272–285 (2020)

4. Krejca, M.: Theoretical analyses of evolutionary algorithms with a focus on estimation of distribution algorithms. In: Proceedings of the 10th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering, vol. 111, p. 129 (2018)

5. Gao, S., de Silva, C.W.: Estimation distribution algorithms on constrained optimization problems. Appl. Math. Comput. 339, 323–345 (2018)

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2. Optimization System Design of Building Internal Structure Based on Multi-Objective Evolutionary Algorithm;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

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