An algorithm for solving the multi-objective optimization problem is presented based on particle swarm optimization through the improvement of the selection ...
An algorithm for solving the multi-objective optimization problem is presented based on particle swarm optimization through the improvement of the selection ...
Based on the standard PSO and weighted fuzzy neural network, the proposed multi-objective algorithm can solve the fuzzy neural network optimization problem.
Designing a set of fuzzy neural networks can be considered as solving a multi-objective optimization problem. In the problem, performance and complexity are ...
Abstract. Designing a set of fuzzy neural networks can be considered as solving a multi-objective optimization problem. In the problem, performance and ...
An algorithm for solving the multi-objective optimization problem is presented based on particle swarm optimization through the improvement of the selection ...
Feb 5, 2021 · An improved multi-objective particle swarm optimization (MOPSO) algorithm named TOPSIS Fuzzy MOPSO (TFMOPSO) is proposed to solve the LW optimization problem.
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This paper proposes a novel feature selection algorithm based on multi-objective particle swarm optimization with adaptive strategies (MOPSO-ASFS)
Fuzzy control optimized by a Multi-Objective Particle Swarm Optimization algorithm for vibration suppression of smart structures. Authors: Magdalene Marinaki.
This study is intended to develop an intelligent supplier decision support system which is able to consider both the quantitative and qualitative factors.