Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Automatic Test Program Generation: A Case Study
IEEE Design & Test
Stochastic methods for dynamic OVSF code assignment in 3G networks
SAGA'07 Proceedings of the 4th international conference on Stochastic Algorithms: foundations and applications
Stochastic optimization algorithm based dynamic resource assignment for 3G systems
NEW2AN'07 Proceedings of the 7th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
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This paper describes an evolutionary approach to the optimization of element antenna arrays. Classic manual or automatic optimization methods do not always yield satisfactory results, being either too labour-intensive or unsuitable for some specific class of problems. The advantage of using an evolutionary approach is twofold: on the one hand it does not introduce any arbitrary assumptions about what kind of solution shows the best promise; on the other hand, being intrinsically non-deterministic, it allows the whole process to be repeated in search of better solutions. A generic evolutionary tool originally developed for a totally different application area, namely test program generation for microprocessors, is employed for the optimization process. The results show both the versatility of the tool (it's able to autonomously choose the number of array elements) and the validity of the evolutionary approach for this specific problem.