Author: El-Ghazali Talbi
Edition:
Publisher: Wiley
Binding: Hardcover
ISBN: 0470278587
Category: Programming
List Price: $ 134.00
Price: $ 108.01
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Metaheuristics: From Design to Implementation (Wiley Series on Parallel and Distributed Computing)
A unified view of metaheuristicsThis book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. Programming books Metaheuristics pdf. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code.Throughout the book, the key search components of metaheuristics are considered as a toolbox for:Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problemsDesigning efficient metaheuristics for multi-objective optimization problemsDesigning hybrid, parallel, and distributed metaheuristicsImplementing metaheuristics on sequential and parallel machinesUsing many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. Download books Hybrid Metaheuristics pdf via mediafire, 4shared, rapidshare.
Price comparison for Hybrid Metaheuristics
Price: $179
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
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
Price: $229
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
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
Price: $3.9
Hybrid Metaheuristics: 6th International Workshop, HM 2009 Udine, Italy, October 16-17, 2009 Proceedings (Lecture Notes in Computer Science Theoretical Computer Science and General Issues) by Andrea Roli, Christian Blum, Michael Sampels, Mar?a Jos? Blesa Aguilera, Andrea Schaerf, Luca Gaspero
Hybrid Metaheuristics: 6th International Workshop, HM 2009 Udine, Italy, October 16-17, 2009 Proceedings (Lecture Notes in Computer Science Theoretical Computer Science and General Issues) by Andrea Roli, Christian Blum, Michael Sampels, Mar?a Jos? Blesa Aguilera, Andrea Schaerf, Luca Gaspero
Price: $1
Metaheuristics for Hard Optimization Simulated Annea Tabu Search E: A. Chatterjee, Alain P?trowski, Eric Taillard, Johann Dr?o, Patrick Siarry
Metaheuristics for Hard Optimization Simulated Annea Tabu Search E: A. Chatterjee, Alain P?trowski, Eric Taillard, Johann Dr?o, Patrick Siarry
Price: $3.9
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the desig
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the desig
Download Metaheuristics
It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code.Throughout the book, the key search components of metaheuristics are considered as a toolbox for:Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problemsDesigning efficient metaheuristics for multi-objective optimization problemsDesigning hybrid, parallel, and distributed metaheuristicsImplementing metaheuristics on sequential and parallel machinesUsing many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics. Download free Metaheuristics: From Design to Implementation (Wiley Series on Parallel and Distributed Computing) pdf
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