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Design optimization of metamaterial units using a genetic algorithm based optimization methodology
COMPEL ( IF 1.0 ) Pub Date : 2020-11-30 , DOI: 10.1108/compel-03-2020-0107 Yiying Li , Shiyou Yang
中文翻译:
使用基于遗传算法的优化方法对超材料单元进行设计优化
更新日期:2020-11-30
COMPEL ( IF 1.0 ) Pub Date : 2020-11-30 , DOI: 10.1108/compel-03-2020-0107 Yiying Li , Shiyou Yang
Purpose
The purpose of this paper is to develop a pertinent design optimization methodology for symmetric designs of a metamaterial (MM) unit.
Design/methodology/approach
A cell division mechanism is introduced and used to design a new selecting mechanism in the proposed algorithm, a non-dominated sorting cellular genetic algorithm (NSCGA).
Findings
The numerical results on solving standard multi-objective test functions and a prototype MM unit positively demonstrate the advantages of the proposed NSCGA.
Originality/value
A new NSGAII-based optimization algorithm, NSCGA, for multi-objective optimization designs of a MM unit is proposed.
中文翻译:
使用基于遗传算法的优化方法对超材料单元进行设计优化
目的
本文的目的是为超材料(MM)单元的对称设计开发一种相关的设计优化方法。
设计/方法/方法
介绍了一种细胞分裂机制,并在该算法中设计了一种新的选择机制,即非支配排序细胞遗传算法(NSCGA)。
发现
求解标准多目标测试函数和原型MM单元的数值结果积极地证明了所提出的NSCGA的优势。
创意/价值
提出了一种基于NSGAII的新型优化算法NSCGA,用于MM单元的多目标优化设计。