Titlebook: A Brief Introduction to Continuous Evolutionary Optimization; Oliver Kramer Book 2014 The Author(s) 2014 Computational Intelligence.Contin

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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/a/image/140107.jpg

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Solid-State Digital Photon Counting PET/CTe information one can get via function evaluations. Neither derivatives nor constraints are known. In the worst case, nothing is even known about the characteristics of the fitness function, e.g., whether it is uni- or multimodal.

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A Brief Introduction to Continuous Evolutionary Optimization978-3-319-03422-5Series ISSN 2191-530X Series E-ISSN 2191-5318

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Solid-State Digital Photon Counting PET/CTe information one can get via function evaluations. Neither derivatives nor constraints are known. In the worst case, nothing is even known about the characteristics of the fitness function, e.g., whether it is uni- or multimodal.

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Current Status of PET TechnologyParameter control is an essential aspect of successful evolutionary search. Various parameter control and tuning methods have been proposed in the history of evolutionary computation, cf. Fig. . for a short taxonomy.

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Michael E. Casey,Dustin R. OsborneConstraints can make a hard optimization problem even harder. They restrict the solution space to a feasible subspace.

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Tan Kok Kiong,Wang Qing-Guo,Tore J. HägglundHybridization has developed to an effective strategy in algorithm design. Hybrid algorithms can become more efficient and more effective than their . counterparts

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