Hybrid metaheuristics /

The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization u...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Talbi, El-Ghazali, 1965-
Published: Springer,
Publisher Address: Berlin ; New York :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Studies in computational intelligence, 434
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-30671-6
Summary: The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective, optimization under uncertainty) in a diverse range of application domains. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real-world examples of problems and solutions demonstrate how hybrid metaheuristics are applied in such fields as networks, logistics and transportation, bio-medical, engineering design, scheduling.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and indexes.
ISBN: 9783642306716 (electronic bk.)
3642306713 (electronic bk.)
Index Number: QA76
CLC: TP301.6
Contents: A Unified Taxonomy of Hybrid Metaheuristics with Mathematical Programming, Constraint Programming and Machine Learning /
Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing /
Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search /
Hybridizing Cellular GAs with Active Components of Bio-inspired Algorithms /
Hybridizations of GRASP with Path-Relinking /
Hybrid Metaheuristics for the Graph Partitioning Problem /
Hybrid Metaheuristics for Medical Data Classification /
HydroCM: A Hybrid Parallel Search Model for Heterogeneous Platforms /
A Multi-thread GRASPxELS for the Heterogeneous Capacitated Vehicle Routing Problem /
The Heuristic (Dark) Side of MIP Solvers /
Combining Column Generation and Metaheuristics /
Application of Large Neighborhood Search to Strategic Supply Chain Management in the Chemical Industry /
A VNS-Based Heuristic for Feature Selection in Data Mining /
Scheduling English Football Fixtures: Consideration of Two Conflicting Objectives /
A Multi-paradigm Tool for Large Neighborhood Search /
Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining /
Boosting Metaheuristic Search Using Reinforcement Learning /