1. Stochastic algorithms in electromagnetic optimization
- Author
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Maurizio Repetto, Piergiorgio Alotto, C. Eranda, K. Preis, Kurt R. Richter, Christian Magele, M. Nervi, Bernhard Brandstätter, G. Furntratt, and G. Molinari
- Subjects
Finite element method ,Mathematical optimization ,Optimization problem ,Stochastic process ,Computer science ,Probabilistic-based design optimization ,Finite element method, magnetic analysis, optimization methods ,Stochastic programming ,Electronic, Optical and Magnetic Materials ,Engineering optimization ,magnetic analysis ,Simulated annealing ,Genetic algorithm ,optimization methods ,Stochastic optimization ,Electrical and Electronic Engineering ,Metaheuristic - Abstract
This paper gives an overview of some stochastic optimization strategies, namely, evolution strategies, genetic algorithms, and simulated annealing, and how these methods can be applied to problems in electrical engineering. Since these methods usually require a careful tuning of the parameters which control the behavior of the strategies (strategy parameters), significant features of the algorithms implemented by the authors are presented. An analytical comparison among them is performed. Finally, results are discussed on three optimization problems.
- Published
- 1998
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