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Advances in Metaheuristics for Hard Optimization

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Release : 2007-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 607/5 ( reviews)

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Book Synopsis Advances in Metaheuristics for Hard Optimization by : Patrick Siarry

Download or read book Advances in Metaheuristics for Hard Optimization written by Patrick Siarry. This book was released on 2007-12-06. Available in PDF, EPUB and Kindle. Book excerpt: Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Metaheuristics for Hard Optimization

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Release : 2006-01-16
Genre : Mathematics
Kind : eBook
Book Rating : 667/5 ( reviews)

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Book Synopsis Metaheuristics for Hard Optimization by : Johann Dréo

Download or read book Metaheuristics for Hard Optimization written by Johann Dréo. This book was released on 2006-01-16. Available in PDF, EPUB and Kindle. Book excerpt: Contains case studies from engineering and operations research Includes commented literature for each chapter

Metaheuristics for Hard Optimization

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Author :
Release : 2006
Genre : Business & Economics
Kind : eBook
Book Rating : 22X/5 ( reviews)

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Book Synopsis Metaheuristics for Hard Optimization by : Johann Dréo

Download or read book Metaheuristics for Hard Optimization written by Johann Dréo. This book was released on 2006. Available in PDF, EPUB and Kindle. Book excerpt: Contains case studies from engineering and operations research Includes commented literature for each chapter

Advances in Metaheuristics

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Release : 2013-03-01
Genre : Business & Economics
Kind : eBook
Book Rating : 22X/5 ( reviews)

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Book Synopsis Advances in Metaheuristics by : Luca Di Gaspero

Download or read book Advances in Metaheuristics written by Luca Di Gaspero. This book was released on 2013-03-01. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristics have been a very active research topic for more than two decades. During this time many new metaheuristic strategies have been devised, they have been experimentally tested and improved on challenging benchmark problems, and they have proven to be important tools for tackling optimization tasks in a large number of practical applications. In other words, metaheuristics are nowadays established as one of the main search paradigms for tackling computationally hard problems. Still, there are a large number of research challenges in the area of metaheuristics. These challenges range from more fundamental questions on theoretical properties and performance guarantees, empirical algorithm analysis, the effective configuration of metaheuristic algorithms, approaches to combine metaheuristics with other algorithmic techniques, towards extending the available techniques to tackle ever more challenging problems. This edited volume grew out of the contributions presented at the ninth Metaheuristics International Conference that was held in Udine, Italy, 25-28 July 2011. The conference comprised 117 presentations of peer-reviewed contributions and 3 invited talks, and it has been attended by 169 delegates. The chapters that are collected in this book exemplify contributions to several of the research directions outlined above.

Advances in Metaheuristic Algorithms for Optimal Design of Structures

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Release : 2014-04-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 496/5 ( reviews)

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Book Synopsis Advances in Metaheuristic Algorithms for Optimal Design of Structures by : A. Kaveh

Download or read book Advances in Metaheuristic Algorithms for Optimal Design of Structures written by A. Kaveh. This book was released on 2014-04-28. Available in PDF, EPUB and Kindle. Book excerpt: This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.

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