A particle swarm optimization algorithm based on a double search strategy is proposed for dynamic multi-objective optimization in this paper.
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The main idea of this paper is to solve such dynamic problem based on a new environment change detection strategy using the advantage of the particle swarm ...
Jul 8, 2023 · In this paper, we propose a two-stage maintenance and multi-strategy selection for multi-objective particle swarm optimization (TMMOPSO), which adaptively ...
May 16, 2024 · A multi-objective particle swarm optimization with a competitive hybrid learning strategy (CHLMOPSO) is put forward.
Confronting these two points, this paper proposes a dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and ...
Nov 1, 2018 · An improved multiobjective quantum-behaved particle swarm optimization based on double search strategy and circular transposon mechanism (MOQPSO-DSCT) is ...
A modified multi-objective particle swarm optimization algorithm based on levy flight and double-archive mechanism (MOPSO-LFDA) and a novel leader selection ...
This paper proposes a novel MOPSO algorithm using multiple search strategies (MMOPSO), where decomposition approach is exploited for transforming MOPs into a ...
Discover a novel improved particle swarm optimization algorithm that tackles premature convergence and local optimum issues. Utilizing self-adaptive inertia ...
A multi-objective particle swarm optimization algorithm based on two-archive mechanism. https://doi.org/10.1016/j.asoc.2022.108532 ·.
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