Comparison of Evolutionary Algorithms for Optimal Design of Broadband Multilayer Microwave Absorber for Normal and Oblique Incidence
Keywords:
Bat algorithm, Chew’s recursive formula, cuckoo search algorithm, multilayer microwave absorber, particle swarm optimization, polarizationAbstract
Microwave absorbers have emerged as an indispensable industrial apparatus in today’s world, owing to their multitude of uses, both civil as well as military. This paper focuses on the use of three evolutionary algorithms, namely, particle swarm optimization, bat algorithm and cuckoo search algorithm for the purpose of obtaining optimal designs of seven layer microwave absorbers over a wide frequency range, and both cases of normal and oblique incidence. The resultant optimal designs are compared in terms of maximum reflection coefficient and total thickness with those presented in existing literature.
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