集合フェロモンシステム(Aps):集合フェロモンの機能をモデルとする実数値探索アルゴリズムの一構成法の提案

Abstract

This paper proposes an aggregation pheromone system for solving real-parameter optimization problems using the collective behavior of individuals which communicate using aggregation pheromones. APS was tested on several test functions used in evolutionary computation. The results showed APS could solve real-parameter optimization problems fairly well. The sensitivity analysis of control parameters of APS is also studied.

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