Titlebook: Hybrid Evolutionary Algorithms; Ajith Abraham,Crina Grosan,Hisao Ishibuchi Book 2007 Springer-Verlag Berlin Heidelberg 2007 Evolution.Evol

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978-3-642-09235-0Springer-Verlag Berlin Heidelberg 2007

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overture

Quantum-Inspired Evolutionary Algorithm for Numerical Optimization,uantum computing that presents faster convergence time for the benchmark problems. Results show that this algorithm can find better solutions, with less evaluations, when compared with similar algorithms, which greatly reduces the convergence time.

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Hybrid Evolutionary Algorithms and Clustering Search,ion associated to this information. Two applications are examined for combinatorial and continuous optimization problems, presenting how to develop hybrid evolutionary algorithms based on *CS. Key words: Hybrid search metaheuristics; Combinatorial and continuous optimization

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1860-949X f 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed..978-3-642-09235-0978-3-540-73297-6Series ISSN 1860-949X Series E-ISSN 1860-9503

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conception

Robust Parametric Image Registration,e. The resulting implementation, called GA–SSD–ARC–NLM, was compared against robust registration methods used in the area of image processing. GA–SSD– ARC–NLM outperforms the RANSAC and the Lorentzian Estimator methods when images are noisy or when they include occluded parts from objects, or even when new objects are on the target images.

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