Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Peng-Yeng Yin

Editore: Idea Group,U.S., 2012
ISBN 10: 1466621451 / ISBN 13: 9781466621459
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"This book provides insight on the latest advances and analysis of technologies in metaheuristics computing, offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization"-- Our orders are sent from our warehouse locally or directly from our international distributors to allow us to offer you the best possible price and delivery time. Codice inventario libreria

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Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving.

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

About the Author:

Peng-Yeng Yin received his BS, MS, and PhD degrees in computer science from National Chiao Tung University (Hsinchu, Taiwan). From 1993 to 1994, he was a visiting scholar in the Department of Electrical Engineering at the University of Maryland (College Park, MD, USA) and in the Department of Radiology at Georgetown University (Washington D.C., USA). In 2000, he was a visiting professor in the Visualization and Intelligent Systems Laboratory (VISLab) in the Department of Electrical Engineering at the University of California (Riverside, USA). From 2006 to 2007, he was a visiting professor at Leeds School of Business, University of Colorado. From 2001 to 2003, he was a professor in the Department of Computer Science and Engineering, Ming Chuan University (Taoyuan, Taiwan). Since 2003, he has been a professor of the Department of information Management, National Chi Nan University (Nantou, Taiwan). Dr. Yin received the Overseas Research Fellowship from Ministry of Education (1993) and the Overseas Research Fellowship from National Science Council (2000). He has received the best paper award from the Image Processing and Pattern Recognition Society of Taiwan. He is a member of the Phi Tau Phi Scholastic Honor Society and listed in Who's Who in the World, Who's Who in Science and Engineering, and Who's Who in Asia. Dr. Yin has published more than 100 academic articles in reputable journals and conferences including IEEE Trans. on Pattern Analysis and Machine Intelligence, IEEE Trans. on Knowledge and Data Engineering, IEEE Trans. on Education, Pattern Recognition, Annals of Operations Research, IEEE International Conference on Computer Vision, etc. He has been on the editorial board of the International Journal of Advanced Robotic Systems, the Open Artificial Intelligence Journal, the Open Artificial Intelligence Letters, the Open Artificial Intelligence Reviews and served as a program committee member in many international conferences. His current research interests include artificial intelligence, evolutionary computation, metaheuristics, pattern recognition, content-based image retrieval, relevance feedback, machine learning, computational intelligence, operations research, and computational biology.

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Titolo: Trends in Developing Metaheuristics, ...
Casa editrice: Idea Group,U.S.
Data di pubblicazione: 2012
Legatura: Hardcover
Condizione libro: New

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Descrizione libro Idea Group,U.S., United States, 2012. Hardback. Condizione libro: New. New.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving.Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing. Codice libro della libreria TNP9781466621459

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Descrizione libro Idea Group,U.S., United States, 2012. Hardback. Condizione libro: New. New.. Language: English . Brand New Book ***** Print on Demand *****.Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving.Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing. Codice libro della libreria APC9781466621459

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Descrizione libro Idea Group,U.S., United States, 2012. Hardback. Condizione libro: New. New.. Language: English . Brand New Book ***** Print on Demand *****. Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving.Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing. Codice libro della libreria APC9781466621459

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Descrizione libro IGI Global. Hardcover. Condizione libro: New. Hardcover. 375 pages. Dimensions: 11.0in. x 8.8in. x 1.1in.Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving. Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Codice libro della libreria 9781466621459

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