Metaheuristics for Scheduling in Industrial and Manufacturing Applications

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Publisher: Springer
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ISBN: 3540789847
Category: Programming
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Metaheuristics for Scheduling in Industrial and Manufacturing Applications (Studies in Computational Intelligence)

This volume presents meta-heuristics approaches for scheduling problems arising in industrial and manufacturing applications. Programming books Metaheuristics for Scheduling in Industrial and Manufacturing Applications pdf. Nowadays, metaheuristics have become a de facto approach to tackle in practice with the complexity of scheduling problems. Early work applied evolutionary computing methods to scheduling problems. The present volume is novel in many respects. First, the proposed approaches comprise a variety of meta-heuristics (Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, Tabu Search, Scatter Search, Variable Neighborhood Search). Download books Metaheuristics for Scheduling in Industrial and Manufacturing Applications pdf via mediafire, 4shared, rapidshare.

Price comparison for Metaheuristics for Scheduling in Industrial and Manufacturing Applications

Price: $239
This volume presents meta-heuristics approaches for scheduling problems arising in industrial and manufacturing applications. Nowadays, metaheuristics have become a de facto approach to tackle in practice with the complexity of scheduling problems. Early work applied evolutionary computing methods to scheduling problems. The present volume is novel in many respects. First, the proposed approaches comprise a variety of meta-heuristics (Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, Tabu Search, Scatter Search, Variable Neighborhood Search). Second,

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This volume presents meta-heuristics approaches for scheduling problems arising in industrial and manufacturing applications. Nowadays, metaheuristics have become a de facto approach to tackle in practice with the complexity of scheduling problems. Early work applied evolutionary computing methods to scheduling problems. The present volume is novel in many respects. First, the proposed approaches comprise a variety of meta-heuristics (Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, Tabu Search, Scatter Search, Variable Neighborhood Search). Second,

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Springer 9783540789840 Metaheuristics for Scheduling in Industrial and Manufacturing Applications (2008 Edition) Description This volume presents meta-heuristics approaches for scheduling problems arising in industrial and manufacturing applications. Nowadays, metaheuristics have become a de facto approach to tackle in practice with the complexity of scheduling problems. Early work applied evolutionary computing methods to scheduling problems. The present volume is novel in many respects. First

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This volume presents meta-heuristics approaches for scheduling problems arising in industrial and manufacturing applications. Nowadays, metaheuristics have become a de facto approach to tackle in practice with the complexity of scheduling problems. Early work applied evolutionary computing methods to scheduling problems. The present volume is novel in many respects. First, the proposed approaches comprise a variety of meta-heuristics (Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, Tabu Search, Scatter Search, Variable Neighborhood Search). Second,

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Nowadays, metaheuristics have become a de facto approach to tackle in practice with the complexity of scheduling problems. Early work applied evolutionary computing methods to scheduling problems. The present volume is novel in many respects. First, the proposed approaches comprise a variety of meta-heuristics (Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, Tabu Search, Scatter Search, Variable Neighborhood Search). Second, in most cases, hybridization is approached as the most effective way to achieve state-of-the art results. Third, and most importantly, the scheduling problems arising in real life applications and real world data instances are solved using these meta-heuristics; these applications comprise reconfigurable manufacturing systems, lot sizing and scheduling in industry, railway scheduling and process, supply chain scheduling and scheduling problem arising in a real-world multi-commodity Oil-derivatives Pipeline. Finally, scheduling problems and meta-heuristics are presented in a comprehensive way making this volume and interesting contribution to the research on scheduling in industrial and manufacturing applications. Download free Metaheuristics for Scheduling in Industrial and Manufacturing Applications (Studies in Computational Intelligence) pdf

Metaheuristics free

Author: El-Ghazali Talbi
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Publisher: Wiley
Binding: Hardcover
ISBN: 0470278587
Category: Programming
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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.

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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

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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

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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

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Metaheuristics for Hard Optimization Simulated Annea Tabu Search E: A. Chatterjee, Alain P?trowski, Eric Taillard, Johann Dr?o, Patrick Siarry

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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

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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