A New Framework with FDPP-LX Crossover for Real-Coded Genetic Algorithm

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概要

• 論文の詳細を見る

• This paper presents a new and robust framework for real-coded genetic algorithm, called real-code conditional genetic algorithm (rc-CGA). The most important characteristic of the proposed rc-CGA is the implicit self-adaptive feature of the crossover and mutation mechanism. Besides, a new crossover operator with laplace distribution following a few promising descent directions (FPDD-LX) is proposed for the rc-CGA. The proposed genetic algorithm (rc-CGA+FPDD-LX) is tested using 31 benchmark functions and compared with four existing algorithms. The simulation results show excellent performance of the proposed rc-CGA+FPDD-LX for continuous function optimization.

• （社）電子情報通信学会の論文
• 2011-06-01

著者

• Chen Zhi-qiang

  Graduate School Of Engineering University Of Fukui

• WANG Rong-Long

  Graduate School of Engineering, University of Fukui

• Wang Rong-long

  Graduate School Of Engineering University Of Fukui

関連論文

• A New Framework with FDPP-LX Crossover for Real-Coded Genetic Algorithm
• Ant Colony Optimization with Memory and Its Application to Traveling Salesman Problem
• An Ant System with Two Colonies and Its Application to Traveling Salesman Problem
• An Ant System with Two Colonies and Its Application to Traveling Salesman Problem

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