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“This handbook offers a comprehensive introduction to advanced ways to adapt EAs to complex real-world problems. These applications include production lines, scheduling, supply networks, engineering optimization, ship design, and soil properties. Considering the breadth of the applications and depth of the discussions, this compendium is a welcome addition to the EA literature.” (R. Goldberg, Computing Reviews, June, 2013)Reseña del editor
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.
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- EditorialSpringer
- Año de publicación2011
- ISBN 10 3642234232
- ISBN 13 9783642234231
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas480
- EditorChiong Raymond, Weise Thomas, Michalewicz Zbigniew
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Variants of Evolutionary Algorithms for Real-World Applications
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Springer (edition 2012), 2011
ISBN 10: 3642234232
ISBN 13: 9783642234231
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Hardcover. Condición: Fair. 2012. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Nº de ref. del artículo: 3642234232-7-1
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Variants of Evolutionary Algorithms for Real-World Applications
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Variants of Evolutionary Algorithms for Real-World Applications
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Springer Berlin Heidelberg Nov 2011, 2011
ISBN 10: 3642234232
ISBN 13: 9783642234231
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book 'Variants of Evolutionary Algorithms for Real-World Applications' aims to promote the practitioner's view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation. 480 pp. Englisch. Nº de ref. del artículo: 9783642234231
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Variants of Evolutionary Algorithms for Real-World Applications
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Variants of Evolutionary Algorithms for Real-World Applications
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Springer Berlin Heidelberg, 2011
ISBN 10: 3642234232
ISBN 13: 9783642234231
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book 'Variants of Evolutionary Algorithms for Real-World Applications' aims to promote the practitioner's view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation. Nº de ref. del artículo: 9783642234231
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Variants of Evolutionary Algorithms for Real-World Applications
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Springer Berlin Heidelberg, 2011
ISBN 10: 3642234232
ISBN 13: 9783642234231
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Practitioner s view on Evolutionary Algorithms. Provides real-world applications of Evolutionary AlgorithmsWritten by leading experts in this fieldEvolutionary Algorithms (EAs) are population-based, stochastic search al. Nº de ref. del artículo: 5053211
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Variants of Evolutionary Algorithms for Real-world Applications
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Springer-Verlag New York Inc, 2011
ISBN 10: 3642234232
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