May 6, 2025 · The traditional multi-objective particle swarm optimization algorithm adopts a single population evolution mode, and the global unified treatment is prone to premature …

Mar 1, 2024 · To address these issues, this paper introduces the multi-strategy improved multi-objective particle swarm optimization algorithm (CMOPSO-MSI) to solve the multi-objective …

Aug 1, 2013 · Multi-Objective PSO (MOPSO) established in 1999, has become an emerging field for solving MOOs with a large number of extensive literature, software, variants, codes and...

Jul 15, 2019 · Particle swarm optimization is a popular nature-inspired metaheuristic algorithm and has been used extensively to solve single- and multi-objective optimization problems over …

Jan 8, 2025 · To address this challenge, the study proposes a novel framework that integrates the fireworks algorithm (FA) into MOPSO and establishes a size-double archiving mechanism to …

For solving multi-objective optimization problems, we propose a multi-objective particle swarm optimization algorithm based on Adaptive Strategies (ASMOPSO). Th.

To simplify the process, a multi-objective particle swarm optimization algorithm with competition mechanism has been proposed. The algorithm maintains the diversity of the population …

Sep 1, 2018 · Our algorithm, called modified multi-objective particle swarm optimization (M-MOPSO) employs a new dynamic search boundary mechanism to properly balance …

Mar 26, 2025 · In this study, a multi-objective particle swarm optimization (MOIPSO) algorithm is proposed to address complex optimization problems, including real-world engineering challenges.

Apr 1, 2025 · Adaptive distance strategy uses PBI with dynamic weights balancing convergence/diversity. The SPP method controls each particle to learn from global optimum …