A noval genetic algorithm with diversity reproduction

Shih Yuan Huang, Chi Wu Mao, Kuo-Sheng Cheng

Research output: Contribution to conferencePaperpeer-review

Abstract

Genetic algorithm is one of the major tools for solving the optimization problem. Its global convergence and searching strategy significantly affect the performance. In this paper, a novel genetic algorithm is proposed to include the diversity strategy and reviving strategy. From the experimental results of solving two typical test functions, the performance of the proposed algorithm is better than that of the traditional genetic algorithm.

Original languageEnglish
Pages973-976
Number of pages4
Publication statusPublished - 2004 Dec 1
Event2004 IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS 2004: SoC Design for Ubiquitous Information Technology - Tainan, Taiwan
Duration: 2004 Dec 62004 Dec 9

Other

Other2004 IEEE Asia-Pacific Conference on Circuits and Systems, APCCAS 2004: SoC Design for Ubiquitous Information Technology
CountryTaiwan
CityTainan
Period04-12-0604-12-09

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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