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To address this problem, this paper investigates the hybrid version of the decomposition methods, i.e., the penalty-based boundary intersection decomposition ...
To this end, we propose a new decomposition method, namely hybrid dynamic decomposition (HDD), which is the combination version of. PBI scalarizing function and ...
This article describes a hybrid multiple populations based evolutionary approach for disjunctive mathematical programs with uncertainties in the problem data.
Aug 20, 2020 · We propose a many-objective evolutionary algorithm based on decomposition with dynamic resource allocation (MaOEA/D-DRA) for irregular optimization.
In this paper, a many-objective evolutionary algorithm based on rotation and decomposition is proposed (MaOEA-RD) to overcome the shortcoming of insufficient ...
Abstract The proposed dynamic multi-objective evolutionary algorithm, DMOEA/D-HP, addresses temporal variations in both the Pareto Front (PF) and Pareto Set (PS) ...
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A many-objective evolutionary algorithm based on three states for ...
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Aug 19, 2024 · This paper proposes a many-objective evolutionary algorithm based on three states (MOEA/TS). Firstly, a feature extraction operator is proposed.
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Sep 11, 2024 · In this paper, a novel way of combining the decomposition method and the domination method is proposed. More precisely, a set of weight vectors ...
Apr 27, 2022 · We propose a Hybrid Selection based MOEA, referred to as HS-MOEA, which is a simple yet effective hybridization of dominance, decomposition and indicator-based ...
Jul 1, 2023 · This article proposes a many-objective evolutionary algorithm based on dual selection strategy (MaOEA/DS).