Modified Multiobjective Evolutionary Algorithm Based on Decomposition for Antenna Design
Modified Multiobjective Evolutionary Algorithm Based on Decomposition for Antenna Design
复制标题
基于分解的改进天线设计多目标进化算法
DOI：
10.1109/tap.2013.2272754
复制
发表时间：
2013-10-01
影响因子：
5.7
通讯作者：
Wang, Gang
中科院分区：
文献类型：
--
作者：
Ding, Dawei;Wang, Gang
基于分解的多目标进化算法（MOEA/D）天线设计中，种群多样性和进化速度是MOEA/D的两个主要问题。采用非支配排序策略从外部种群中选择沿着不同搜索方向的父个体，可以提高种群的多样性，同时以较小的进化速度为代价。给定的测试实例和一个三波段蝴蝶结天线的优化结果表明，修改后的MOEA/D可以产生一个更有效的方式比原来的MOEA/D的替代解决方案的大集合。改进的MOEA/D进一步证明了通过设计一个四频双边领结天线。数值计算和试验结果表明，改进的MOEA/D是一种很有前途的天线设计多目标进化算法。
For antenna design with multiobjective evolutionary algorithm based on decomposition (MOEA/D), population diversity and evolution speed of MOEA/D are two major concerns. Population diversity can be improved by selecting father- individuals along different search directions from external populations sorted by nondominated sorting strategy at small expense of evolution speed. Optimization results of given test instances and a tri-band bow-tie antenna indicate that the modified MOEA/D could generate a large set of alternative solutions in a more efficient way if compared to original MOEA/D. The modified MOEA/D is further demonstrated by designing a quad-band double-sided bow-tie antenna. Both numerical and test results show that modified MOEA/D is a promising multiobjective evolutionary algorithm for antenna design.