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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Efficiency of Various Stochastic Optimization Algorithms in High Frequency Electromagnetic Applications
verfasst von : Jasmin Smajic, Matthew Mishrikey, Arya Fallahi, Christian Hafner, Ruediger Vahldieck
Erschienen in: Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)
Verlag: Springer Berlin Heidelberg
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We present the efficiency of various probabilistic algorithms, including the standard genetic algorithm, micro-genetic algorithm, evolutionary strategy, randomly initialized hill climbing, and mutation based algorithms for the optimization of electromagnetic devices operating at microwave and optical frequencies. Single fitness evaluations are costly because the electromagnetic field computation time is usually long. We therefore need to find strategies that provide optimal solutions in under a few hundred fitness evaluations. This constraint considerably affects the design of the optimizer. In order to obtain reliable guidelines, various optimization algorithms have been applied to three optimization problems.