Application of multiple objectives optimization in Eomecon Chinanthe Alkaloids against Oncomelania

doi:10.3778/j.issn.1002-8331.2010.31.061

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (31): 219-221.DOI: 10.3778/j.issn.1002-8331.2010.31.061

• 工程与应用 • Previous Articles Next Articles

Application of multiple objectives optimization in Eomecon Chinanthe Alkaloids against Oncomelania

LIU Gang，LIU Xian-feng

Mathematics and Computer Science College，Hunan Normal University，Changsha 410081，China

Received:2009-06-29 Revised:2009-08-26 Online:2010-11-01 Published:2010-11-01
Contact: LIU Gang

多目标优化设计在杀螺剂配方研究中的应用

刘刚，刘先锋

湖南师范大学数学与计算机科学学院计算机系，长沙 410081

通讯作者: 刘刚

Abstract

Abstract: A Pareto GA method to deal with multiple objectives optimization problem is presented for an Eomecon Chinanthe Alkaloids against Oncomelania，and the fitness function is built，then the ranked-select method is applied to transform constraint multiple objectives optimization into non-constraint multiple objectives one with an immigration operator which improves the computing performance observably，a Pareto optimal set can been got.The result proves the efficiency and advantage of this method.

Key words: multiple objectives optimization, Pareto optimization, immigration operator, Genetic Algorithm（GA）

摘要： 针对某生物杀螺剂制作中多目标约束问题，提出了一种应用Pareto遗传算法来解决问题的优化方法。建立了用于多目标优化的适应度函数，使用排列选择方法将带约束的多目标问题转换为无约束优化问题；并根据计算中的收敛情况引入了适当的移民算子，改善了遗传算法的进化性能，得到了Pareto最优解集，成功地解决了该生物杀螺剂的最优配方问题。

关键词: 多目标优化, Pareto最优解, 移民算子, 遗传算法

CLC Number:

TP391

LIU Gang，LIU Xian-feng . Application of multiple objectives optimization in Eomecon Chinanthe Alkaloids against Oncomelania[J]. Computer Engineering and Applications, 2010, 46(31): 219-221.

刘刚，刘先锋. 多目标优化设计在杀螺剂配方研究中的应用[J]. 计算机工程与应用, 2010, 46(31): 219-221.

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Application of multiple objectives optimization in Eomecon Chinanthe Alkaloids against Oncomelania

多目标优化设计在杀螺剂配方研究中的应用

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