The regularity model based multiobjective estimation of distribution algorithm (RM-MEDA) is such a method that uses the regularity property of continuous ...
A practical regularity model based evolutionary algorithm for multiobjective optimization. Authors: Wanpeng Zhang, Shuai Wang, Aimin Zhou, and Hu Zhang ...
The regularity model based multiobjective estimation of distribution algorithm (RM-MEDA) is such a method that uses the regularity property of continuous ...
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It is well known that domain knowledge helps design efficient problem solvers. The regularity model based multiobjective estimation of distribution ...
This paper proposed a model-based evolutionary algorithm (M-MOEA) for bi-objective optimization problems. Inspired by the ideas from estimation of distribution ...
Aug 9, 2021 · In this article, a new approach, based on an inversed model of Gaussian process and random forest framework, is proposed. ... Then these inverse ...
Jun 19, 2024 · A practical regularity model based evolutionary algorithm for multiobjective optimization. Appl. Soft Comput. 129: 109614 (2022). [j53]. view.
Oct 18, 2023 · This paper proposes a learning-to-guide strategy (LGS) for assisting the search for multiobjective optimization algorithms in dealing with MOPs.
: A MULTIOBJECTIVE EVOLUTIONARY ALGORITHM USING GAUSSIAN PROCESS BASED INVERSE MODELING ... Cai, “A regularity model-based multiobjective estimation of ...