Variants of Evolutionary Algorithms for Real-World Applications
Editors: Chiong, Raymond, Weise, Thomas, Michalewicz, Zbigniew (Eds.)
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- About this book
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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.
- Reviews
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From the reviews:
“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)
- Table of contents (14 chapters)
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Evolutionary Optimization
Pages 1-29
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An Evolutionary Approach to Practical Constraints in Scheduling: A Case-Study of the Wine Bottling Problem
Pages 31-58
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A Memetic Framework for Solving the Lot Sizing and Scheduling Problem in Soft Drink Plants
Pages 59-93
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Simulation-Based Evolutionary Optimization of Complex Multi-Location Inventory Models
Pages 95-141
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A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision-Support in Supply Chain Networks
Pages 143-166
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Table of contents (14 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Variants of Evolutionary Algorithms for Real-World Applications
- Editors
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- Raymond Chiong
- Thomas Weise
- Zbigniew Michalewicz
- Copyright
- 2012
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-23424-8
- DOI
- 10.1007/978-3-642-23424-8
- Hardcover ISBN
- 978-3-642-23423-1
- Softcover ISBN
- 978-3-642-44058-8
- Edition Number
- 1
- Number of Pages
- XIV, 466
- Topics
