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portada Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing)
Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing) Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing) Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing) Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing)
Type
Physical Book
Author
Publisher
Year
2009
Language
English
Pages
593
Format
Hardcover
Dimensions
23.6x16x3.3 cm
Weight
0.95 kg.
ISBN
0470278587
ISBN13
9780470278581
Edition No.
1
Categories

Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing)

El-Ghazali Talbi (Author) · Wiley · Hardcover

Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing) - Talbi, El-Ghazali

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Synopsis "Metaheuristics: From Design to Implementation: 74 (Wiley Series on Parallel and Distributed Computing) "

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 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 problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using 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.

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