计算机工程与设计
計算機工程與設計
계산궤공정여설계
COMPUTER ENGINEERING AND DESIGN
2009年
21期
4907-4913
,共7页
龚月姣%陈梦君%胡晓敏%张军
龔月姣%陳夢君%鬍曉敏%張軍
공월교%진몽군%호효민%장군
遗传算法%自适应参数%交叉%变异%聚类分析
遺傳算法%自適應參數%交扠%變異%聚類分析
유전산법%자괄응삼수%교차%변이%취류분석
genetic algorithms%adaptive parameters%crossover%mutation%clustering analysis
分析了前人提出的具有代表性的自适应遗传算法,使用23个测试函数对SGA和3种AGA进行实验比较,讨论并总结出各种AGA的优劣所在,为新研究理念的提出提供基础,也为工业应用提供一个参考标准.实验结果表明,基于聚类分析的AGA在算法性能上较其它自适应遗传算法更优,具有很高的实用价值和发展前景.
分析瞭前人提齣的具有代錶性的自適應遺傳算法,使用23箇測試函數對SGA和3種AGA進行實驗比較,討論併總結齣各種AGA的優劣所在,為新研究理唸的提齣提供基礎,也為工業應用提供一箇參攷標準.實驗結果錶明,基于聚類分析的AGA在算法性能上較其它自適應遺傳算法更優,具有很高的實用價值和髮展前景.
분석료전인제출적구유대표성적자괄응유전산법,사용23개측시함수대SGA화3충AGA진행실험비교,토론병총결출각충AGA적우렬소재,위신연구이념적제출제공기출,야위공업응용제공일개삼고표준.실험결과표명,기우취류분석적AGA재산법성능상교기타자괄응유전산법경우,구유흔고적실용개치화발전전경.
The representative adaptive genetic algorithms are analyzed. The performance of the SGA and three types of AGA is compared by testing 23 benchmark functions. The characteristics of the AGA are discussed and concluded, in order to provide reference basis for theoretical research and industrial applications.The result of experiment shows that the clustering-based AGA outperforms the other adaptive genetic algorithms, indicating its great potential in practice and the bright future.
