IEEE Antennas and Propagation Society International Symposium. 1996 Digest
DOI: 10.1109/aps.1996.549878
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Genetic algorithms in electromagnetics

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Cited by 30 publications
(18 citation statements)
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“…2) in an effort to maximize the power emitted by the structure in the visible while maximizing its efficiency. We use a hybrid optimization method consisting of a micro-genetic global optimization algorithm [11][12][13][14][15][16][17], coupled to a local optimization algorithm [18,19], to determine the best dimensions for four-layer structures. The genetic algorithm is an iterative optimization procedure which starts with a randomly selected population of potential solutions and evolves toward improved solutions; once the population converges, the local optimization algorithm finds the local optimum.…”
Section: Resultsmentioning
confidence: 99%
“…2) in an effort to maximize the power emitted by the structure in the visible while maximizing its efficiency. We use a hybrid optimization method consisting of a micro-genetic global optimization algorithm [11][12][13][14][15][16][17], coupled to a local optimization algorithm [18,19], to determine the best dimensions for four-layer structures. The genetic algorithm is an iterative optimization procedure which starts with a randomly selected population of potential solutions and evolves toward improved solutions; once the population converges, the local optimization algorithm finds the local optimum.…”
Section: Resultsmentioning
confidence: 99%
“…It can be used to evaluate radiation and scattering fields of complex structures for which the normal theories and methods are difficult to be applied [4] . Recently, Kerkhoff, et al applied the GA to the design and analysis of monopoles UWB antennas both without and with the notched-band [5−6] .…”
Section: Introductionmentioning
confidence: 99%
“…For example, in [7,8] tapering window is used to reduce the sidelobe level in UCCA, but reduction in the sidelobe level increases the beamwidth. Recently, search algorithms, such as genetic algorithms (GAs) [9] and Particle Swarm Optimization (PSO) [10], have been used in array pattern synthesis. GA has been used in [11] to optimize the interelement spacing and number of elements in each ring.…”
Section: Introductionmentioning
confidence: 99%