CAJ | 학술논문

运用遗传算法对连续变化的多层旋波媒质的本构关系进行了优化,设计了新的编码方案,用波分法对与编码相应的多层旋波媒质的电磁散射特性进行计算,通过进化筛选,得到了由多层旋波媒质材料构成的具有较好吸波性能的本构关系曲线.结果表明遗传算法在优化设计中的编码灵活,具有全局搜索等优越性.
운용유전산법대련속변화적다층선파매질적본구관계진행료우화,설계료신적편마방안,용파분법대여편마상응적다층선파매질적전자산사특성진행계산,통과진화사선,득도료유다층선파매질재료구성적구유교호흡파성능적본구관계곡선.결과표명유전산법재우화설계중적편마령활,구유전국수색등우월성.
A novel method of optimizing the continuous variable constitutive relation of multilayered chiral slab based on genetic algorithm is discussed in this paper. The method derive automatically the continuous variable constitutive relations. The reflection coefficient is calculated by wave-splitting method. Further more, the genetic algorithm is used to search the maximum absorbability of the chiral slab with certain thickness. The one point crossover GA and two points crossover GA have both been tested in the research, the latter one is really more stable than the first one and its very important to set the proper crossover ration and mutation ration. The advantage of GA would be presented more obviously in designing artificial chiral material model with more variables.