A modified immune network algorithm for multimodal electromagnetic problems
A modified immune network algorithm for multimodal electromagnetic problems
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DOI：
10.1109/tmag.2006.871633
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发表时间：
2006-03
影响因子：
2.1
通讯作者：
F. Campelo;Frederico G. Guimarães;Hajime Igarashi;Jaime A. Ramírez;So Noguchi
中科院分区：
文献类型：
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作者：
F. Campelo;Frederico G. Guimarães;Hajime Igarashi;Jaime A. Ramírez;So Noguchi
一些基于免疫学理论的优化算法具有找到任意多个最优解的特点，包括全局最优解。然而，这种优势是以大量目标函数评估为代价的，在大多数情况下，这在电磁设计中是令人望而却步的。提出了一种改进的人工免疫网络算法(OPT-AINet)，用于电磁优化设计。这种改进的AINet(m-AINet)的目的是在保持或改善收敛特性的同时，减少算法所需的计算量。提出的另一项改进是通过使用特定的约束处理技术使其更适合于约束问题。对一个解析问题和电磁装置设计的结果表明了所提算法的适用性。
Some optimization algorithms based on theories from immunology have the feature of finding an arbitrary number of optima, including the global solution. However, this advantage comes at the cost of a large number of objective function evaluations, in most cases, prohibitive in electromagnetic design. This paper proposes a modified version of the artificial immune network algorithm (opt-AINet) for electromagnetic design optimization. The objective of this modified AINet (m-AINet) is to reduce the computational effort required by the algorithm, while keeping or improving the convergence characteristics. Another improvement proposed is to make it more suitable for constrained problems through the utilization of a specific constraint-handling technique. The results obtained over an analytical problem and the design of an electromagnetic device show the applicability of the proposed algorithm