A Multiobjective Genetic Algorithm to Optimize Electromagnetic Properties of Conducting Polymer Composites in the MicrovVave Band

摘要：

Due to the proliferation of electromagnetic interferences, designing protecting material for high frequencies equipmenu has become an important problem. This paper uses a new multiobjective model to design the different layers of a conducting polymer. To solve the multiobjective model, a multiobjective continuous genetic algorithm is introduced. The genetic algorithm offers several solutions with different physical properties and different costs.

关键词： Metaheuristics Genetic Algorithm Multiple objective programming Design Conducting material

作者: Laetitia JOURDAN Thomas LEGRAND Oliver SCHUETZE El-Ghazali TALBI Jean-Luc WOJKIEWICZ

作者单位: INRIA Futurs,LIFL,CNRS Bat M3,Cite Scientifique,59655 Villeneuve dAscq Cedex,France Ecole des Mines de Douai,941,rue Charles Bourseul,BP 10838-59508 Douai Cedex,France

会议类型: 国际会议

会议名称: 工业工程与系统管理2007年国际会议(International Conference on Industrial Engineering and Systems Management)(IESM 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-05-30（万方平台首次上网日期，不代表论文的发表时间）