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Parametrization and Balancing Local and Global Search
2012This chapter is devoted to the parametrization of memetic algorithms and how to find a good balance between global and local search. This is one of the most pressing questions when designing a hybrid algorithm. The idea of hybridization is to combine the advantages of different components.
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Parametric Optimization: Stochastic Gradients and Adaptive Search
2014This chapter focusses on simulation-based techniques for solving stochastic problems of parametric optimization, also popularly called static optimization problems. Such problems have been defined in Chap. 3.
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