Proceedings of First International Caracas Conference on Devices, Circuits and Systems
DOI: 10.1109/iccdcs.1995.499170
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Synthesis of antenna arrays using genetic algorithms

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Cited by 18 publications
(10 citation statements)
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“…When optimizing the ( u , v ) coverage of antenna arrays, one has to cope with multiple local minima. To tackle this issue we employed a genetic algorithm (GA) [ Haupt , 1995; Marcano and Duràn , 2000]. We use the differential entropy H diff of the probability density of the ( u , v ) samples as a metric of the uniformity of their distribution.…”
Section: System Designmentioning
confidence: 99%
See 1 more Smart Citation
“…When optimizing the ( u , v ) coverage of antenna arrays, one has to cope with multiple local minima. To tackle this issue we employed a genetic algorithm (GA) [ Haupt , 1995; Marcano and Duràn , 2000]. We use the differential entropy H diff of the probability density of the ( u , v ) samples as a metric of the uniformity of their distribution.…”
Section: System Designmentioning
confidence: 99%
“…Section 3 presents a discussion of the considerations involved in the system design and the advantages of rotational scanning over linear scanning are shown. Antenna arrays are optimized by use of a genetic algorithm (GA) [ Haupt , 1995; Marcano and Duràn , 2000] for maximally uniform ( u , v ) coverage after rotational scanning. The imaging performances of the array are assessed using simulated millimeter‐wave scenes and are compared with those achieved with a conventional power law Y‐shaped array.…”
Section: Introductionmentioning
confidence: 99%
“…As the need for conformal antennas is consistently increased recently, various techniques including local optimization algorithm and global optimization algorithm on the pattern synthesis of conformal array antennas have been extensively studied . In particular, the evolutionary algorithms derived from biologic behavior have attracted more attention because of their simple structure, efficiency, and suitability for solving multiparameter, multigoal problems .…”
Section: Introductionmentioning
confidence: 99%
“…Intelligent optimization algorithms show good performance in solving such kind of problems. Thereby, algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) algorithm , are applied in solving such problems and achieved considerable solutions.…”
Section: Introductionmentioning
confidence: 99%