Hybrid Genetic Programming With Accelerating Genetic Algorithm Optimizer for 3-D Metamaterial Design
Hybrid Genetic Programming With Accelerating Genetic Algorithm Optimizer for 3-D Metamaterial Design
复制标题
用于 3D 超材料设计的混合遗传编程与加速遗传算法优化器
DOI：
10.1109/lawp.2016.2531721
复制
发表时间：
2016
影响因子：
4.2
通讯作者：
M. Kobayashi
中科院分区：
文献类型：
--
作者：
J. Rayno;M. Iskander;M. Kobayashi
现有的遗传编程（GP）软件的计算效率提高，通过添加并行化和杂交与低级优化器。低级别的优化器是使用遗传算法实现的，并提出了两个不同版本的开发的混合GP程序。讨论了时间和效率性能，其中包括使原始优化器快八倍以上的方法。效率结果表明，通过使用优化器，包括足够的变量，需要显着减少（约1/4至1/2）GP代，以实现工作的超材料设计。两个低频宽带（225-450 MHz）接地层设计的例子，这是25.3%，比以前公布的设计，覆盖相同的频带，包括。
The computational efficiency of existing genetic programming (GP) software is improved through the addition of parallelization and hybridization with a low-level optimizer. The low-level optimizer is implemented using genetic algorithm, and two different versions of the developed hybrid GP program are presented. Timing and efficiency performance are discussed, which includes a method of making the original optimizer more than eight times faster. Efficiency results indicate that through the use of the optimizer, with sufficient variables included, significantly fewer (about ¼ to ½) GP generations are required to achieve working metamaterial designs. Two low-frequency broadband (225-450 MHz) ground plane design examples, which are 25.3% thinner than a previously published design covering the same frequency band, are included.