Titlebook: Hybrid Metaheuristics; El-Ghazali Talbi Book 2013 Springer-Verlag Berlin Heidelberg 2013 Computational Intelligence.Hybrid Metaheuristics

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Filipe Alvelos,Amaro de Sousa,Dorabella Santosschen oder franz?sischen Sprache, existieren vielf?ltige W?rter, die durchaus verschiedene Aspekte von Bildung beschreiben. Im ?ffentlichen Diskurs um das deutsche Bildungswesen beschr?nken sich der Gebrauch und das Verst?ndnis von Bildung auf eine geradezu technische Interpretation im Sinne eines A

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混雜人

Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Searchr’s preferences is available, that is, when problems are tackled in the sense of Pareto optimization. Most of these metaheuristics follow one of the two main paradigms to tackle such problems in a heuristic way. The first paradigm is to rely on Pareto dominance when exploring the search space. The s

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Hybridizing Cellular GAs with Active Components of Bio-inspired Algorithms the resolution of optimization problems. In this work we present two hybrid algorithms based on a cGA with the insertion of components from PSO. We aim to achieve significant numerical improvements in the results obtained by a cGA in combinatorial optimization problems. We here analyze the performa

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Hybrid Metaheuristics for the Graph Partitioning Problemesign, data mining, image segmentation, etc. Due to its high computational complexity, a large number of approximate approaches have been reported in the literature. Hybrid algorithms that are based on adaptations of popular metaheuristic techniques have shown to provide outstanding performance in t

DEFT

Hybrid Metaheuristics for Medical Data Classificationxist, among which medical diagnosis and prognosis are most common. Deriving a medical classification is a complex task. In particular, the rule–discovery problem is NP-hard. Identifying the most suitable strategy for a particular medical classification problem along with its optimal parameters is no

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HydroCM: A Hybrid Parallel Search Model for Heterogeneous Platformshardware environments. With HydroCM we actually propose a schema for describing a family of parallel hybrid metaheuristics inspired by the structure of hydrocarbons in Nature, establishing a resemblance between atoms and computers, and between chemical bonds and communication links. Our goal is to g