A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorith
A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. ...
. For the purpose of this paper, genetic algorithms can be divided into two broad categories: simple genetic algorithms (SGAs) and competent genetic algorithms. The term “competent GAs” has been used to describe GAs that solve a large class of optimization problems in scalable manner and will...
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Genetic algorithms (GA), in contrast to gradient optimization approaches, offer an alternative approach with several attractive features. The basic idea associated with the GA is to search for optimal solutions using an analogy to the theory of evolution (Marco, 2000; Wang et al., 2002; Quagliar...
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In Section 2, brief literature reviews for hardware based parallel genetic algorithms are given. Section 3 describes the design details of the proposed FPGA IP core structure for general purpose genetic algorithms. Section 4 gives information for the implementation platform and experimental results. ...
View PDFView articleView in ScopusGoogle Scholar [3] M.A. Panduro, C.A. Brizuela, L.I. Balderas, D.A. Acosta A comparison of genetic algorithms, particle swarm optimization and the differential evolution method for the design of scannable circular antenna arrays Progress in Electromagnetics Re...