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Jul 12, 2023 · The new algorithm (called MOEA/D-MIPE) employs the radial basis function model and a remedy scheme to estimate the ideal point.
Experimental results show that our algorithm is suitable for solving problems with various Pareto fronts, including those with “regular” and “irregular” shapes.
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Multi-objective evolutionary algorithms based on decomposition (MOEA/D) usually work effectively when they have an appropriate set of weight vectors.
The inverse modeling multi-objective evolutionary algorithm (IM-MOEA) is a method to solve multi-objective optimization problems (MOP) that samples ...
May 9, 2022 · In this paper, a decomposition-based many-objective evolutionary algorithm with optional performance indicators is proposed.
Multi-objective evolutionary algorithms mainly include the methods based on the Pareto dominance relationship and the methods based on decomposition.
This work proposes a reference point specification method based on discussions of MOEA/D (multi-objective evolutionary algorithm based on decomposition)
Apr 15, 2020 · This paper proposes a multi-objective evolutionary algorithm (MOEA) for MOP problems in order to obtain a set of Pareto optimal solutions [5,6].
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In the proposed algorithm, multiple individuals who are assigned to the same weight vector form a subpopulation. Then, the estimation strategy is designed for ...
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The proposed algorithm uses a decomposition-based strategy for evolving its working population, where each individual represents a subproblem, and utilizes a ...