1# Library to Find Best eBook for Read
Author : Johann Dréo
Release : 2006-01-16
Genre : Mathematics
Kind : eBook
Book Rating : 667/5 ( reviews)
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
Author : Johann Dréo
Release : 2006
Genre : Business & Economics
Kind : eBook
Book Rating : 22X/5 ( reviews)
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
Author : Patrick Siarry
Release : 2007-12-06
Genre : Mathematics
Kind : eBook
Book Rating : 607/5 ( reviews)
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.
Author : El-Ghazali Talbi
Release : 2009-05-27
Genre : Computers
Kind : eBook
Book Rating : 908/5 ( reviews)
Book Synopsis Metaheuristics by : El-Ghazali Talbi
Download or read book Metaheuristics written by El-Ghazali Talbi. This book was released on 2009-05-27. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Vasant, Pandian M.
Release : 2012-09-30
Genre : Computers
Kind : eBook
Book Rating : 870/5 ( reviews)
Book Synopsis Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance by : Vasant, Pandian M.
Download or read book Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance written by Vasant, Pandian M.. This book was released on 2012-09-30. Available in PDF, EPUB and Kindle. Book excerpt: Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.
