Book on Metaheuristics
Forum 'Annonces' - Sujet créé le 2009-05-08
------------------New book --------------------
Title : "Metaheuristics: from design to implementation"
Author: Prof. El-Ghazali Talbi (University of Lille, CNRS, INRIA)
Wiley 2009 (624pp),
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470278587.html
ISBN: 978-0-470-27858-1
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A unified view of metaheuristics
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Abstract: This book provides a complete background on metaheuristics and shows readers how to design and implement powerful search algorithms to solve complex optimization problems across a diverse range of optimization problems in science and industry. It presents the main design questions for all families of metaheuristics (e.g. representations, neighborhoods, parameter tuning, constraint handling, performance evaluation).
The key search components of metaheuristics are considered as a toolbox for:
• Designing efficient single-solution based metaheuristics (e.g. local search, tabu search simulated annealing, GRASP, variable neighborhood search, iterative local search, guided local search).
• Designing efficient population based metaheuristics (e.g. evolutionary algorithms, scatter search, particle swarm, ant colonies, bee colonies, artificial immune systems, EDA, differential evolution).
• Designing efficient metaheuristics for multi-objective optimization.
• Designing hybrid, parallel and distributed metaheuristics.
• Implementing metaheuristics on sequential and parallel machines. It clearly illustrates how to implement algorithms to reuse both the design and code.
With more than 200 illustrative examples using various case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale problems quickly and efficiently.
It is a valuable reference for practicing engineers from diverse areas dealing with optimization; researchers and developers designing metaheuristics; and graduate or undergraduate students in business, management, computer science, operations research, engineering, and applied mathematics. More than 200 exercises are also provided.
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Title : "Metaheuristics: from design to implementation"
Author: Prof. El-Ghazali Talbi (University of Lille, CNRS, INRIA)
Wiley 2009 (624pp),
http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470278587.html
ISBN: 978-0-470-27858-1
-----------------------------------------------
================================
A unified view of metaheuristics
================================
Abstract: This book provides a complete background on metaheuristics and shows readers how to design and implement powerful search algorithms to solve complex optimization problems across a diverse range of optimization problems in science and industry. It presents the main design questions for all families of metaheuristics (e.g. representations, neighborhoods, parameter tuning, constraint handling, performance evaluation).
The key search components of metaheuristics are considered as a toolbox for:
• Designing efficient single-solution based metaheuristics (e.g. local search, tabu search simulated annealing, GRASP, variable neighborhood search, iterative local search, guided local search).
• Designing efficient population based metaheuristics (e.g. evolutionary algorithms, scatter search, particle swarm, ant colonies, bee colonies, artificial immune systems, EDA, differential evolution).
• Designing efficient metaheuristics for multi-objective optimization.
• Designing hybrid, parallel and distributed metaheuristics.
• Implementing metaheuristics on sequential and parallel machines. It clearly illustrates how to implement algorithms to reuse both the design and code.
With more than 200 illustrative examples using various case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale problems quickly and efficiently.
It is a valuable reference for practicing engineers from diverse areas dealing with optimization; researchers and developers designing metaheuristics; and graduate or undergraduate students in business, management, computer science, operations research, engineering, and applied mathematics. More than 200 exercises are also provided.
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