Population Fitness Probability for Effectively Terminating Evolution Operations of a Genetic Algorithm(Biocybernetics, Neurocomputing)

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概要

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• The probability associated with population fitness in a Genetic Algorithm (GA) is studied using the concept of average Euclidean distance. Based on the probability derived from population fitness, the GA can effectively terminate its evolution operations to mitigate the total computational load. Simulation results verify the feasibility of the derived probability used for the GA's termination strategy.

• 社団法人電子情報通信学会の論文
• 2006-12-01

著者

• Chen Heng-chou

  Department Of Electrical Engineering National Chung Cheng University

• Chen Heng-chou

  Department Of Computer And Communication Engineering Chienkuo Technology University

• Chen Oscal

  Department Of Electrical Engineering National Chung Cheng University

関連論文

• Convergence Performance Analyses of Fast Data-Reusing Normalized Least Mean Squared Algorithm(Digital Signal Processing)
• Population Fitness Probability for Effectively Terminating Evolution Operations of a Genetic Algorithm(Biocybernetics, Neurocomputing)
• Discrete Modelling of Continuous-Time Systems Having Interval Uncertainties Using Genetic Algorithms

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