Improvement of the Particle Swarm Optimization for Large-scale Optimization Problems

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概要

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• Particle Swarm Optimization (PSO) is one of new optimization methods. PSO is a powerful method to find the minimum of a numerical function on a continuous definition domain. However, it has been pointed out that the performance of PSO on large-scale problems is not always satisfactory. In this paper, we study a new computational model to improve the performance on large-scale optimization problems.

• 公益社団法人 計測自動制御学会の論文

公益社団法人 計測自動制御学会 | 論文

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