Titlebook: Computational Intelligence in Expensive Optimization Problems; Yoel Tenne,Chi-Keong Goh Book 2010 Springer-Verlag Berlin Heidelberg 2010 a

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Strategisches Controlling und Strukturation regression. A least-squares regression is used to estimate the shape of the local fitness landscape. From this shape, the expected location of the peak is calculated and the information given to the PSO. By guiding the PSO to the optimum, the local convergence speed can be vastly improved. We demon

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https://doi.org/10.1007/978-3-322-90403-4tial Evolution for Large Scale problems (DELS) is a Differential Evolution (DE) based Memetic Algorithm with self-adaptive control parameters and automatic population size reduction, which employs within its framework a variation operator local search. The local search algorithm is applied to the sc

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Strategie und Technik des Automobilmarketingration tasks involve difficult decision-making processes that can be formulated as optimization problems: large-scale combinatorial optimization problems. These problems have been addressed successfully with specially designed evolutionary hybrid approaches. Such approaches rely upon Lamarckian evol

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Wachstumsstrategien in neuen M?rktenthods use a non-deterministic approach that finds good solutions, despite not ensuring the determination of the overall optimum. The success of a metaheuristic is conditioned on its capacity of alternating properly between the exploration and exploitation of solution spaces. During the process of se

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Die Beziehung zum Kunden gestaltenhe TS type with different trade-offs between, generally, complexity/interpretability and accuracy. The application of these algorithms requires a large number of TS system generations and evaluations.When we deal with high dimensional data sets, these tasks can be very time-consuming, thus making an

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Die Kommunikation orchestrieren multi-criterion minimum spanning tree (MCMST) model, a combinatorial optimization problem that has been shown to be NP-Hard. In Pareto Optimization of the model no polynomial time algorithm is known to find the Pareto front for all instances of the MCMST problem. Researchers have therefore develope

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Computational Intelligence in Expensive Optimization Problems978-3-642-10701-6Series ISSN 1867-4534 Series E-ISSN 1867-4542