Tracking the most effective solutions over time and ensuring good exploitation and exploration are the main challenges of solving DMOP. This study proposes a ...
Mar 2, 2022 · Particle Swarm Optimization (PSO) system based on the distributed architecture over multiple sub-swarms is very efficient for static ...
This study proposes a novel Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels ...
Dec 10, 2023 · PDF | Particle swarm optimization system based on the distributed architecture over multiple sub-swarms has shown its efficiency for static ...
This study proposes a Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels.
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Nov 1, 2022 · This study proposes a Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel ...
Dec 10, 2023 · PDF | Particle swarm optimization system based on the distributed architecture has shown its efficiency for static optimization and has not ...
Dec 3, 2020 · Abstract—Particle swarm optimization system based on the distributed architecture over multiple sub-swarms has shown its efficiency.
This study proposes a Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels.
This study proposes a Dynamic Pareto bi-level Multi-. Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels.