A novel EA for constrained optimization is presented. In the process of population evolution, our algorithm is based on multiobjective optimization techniques.
Compared with some other state-of-the-art algorithms, our algorithm remarkably outperforms them in terms of the best, mean, and worst objective function values ...
During the evolutionary process, our algorithm is based on multiobjective optimization techniques, i.e., an individual in the parent population may be replaced ...
In this paper, an alternative approach for the constrained optimization problem is presented. The method is a variant of a multiobjective real coded genetic ...
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Jan 25, 2023 · This paper proposes an adaptive constraint regulation method to adjust the constraint violation of an infeasible solution by its -nearest neighbors.
This paper proposes an improved constrained dominance principle (ICDP) embedded in MOEA/D, named MOEA/D-ICDP.
In this paper, an alternative approach for the constrained optimization problem is presented. The method is a variant of a multiobjective real coded genetic ...
Jul 4, 2024 · This article aims to facilitate a more thorough comprehension of evolutionary constrained multi-objective optimization among researchers.
In this chapter, we present a survey of constraint-handling techniques based on evolutionary multiobjective optimization concepts.
In this review, current multiobjective evolutionary approaches are discussed, ranging from the conventional analytical aggregation of the different objectives ...