Recent Advances in Swarm Intelligence and Evolutionary Computation
Editors: Yang, Xin-She (Ed.)
Free Preview- Provides a timely review and summary about the latest developments of swarm intelligence and evolutionary computation and their diverse applications
- Reviews both theoretical studies and applications with focus on the diverse applications and detailed descriptions of algorithms and backgrounds
- Interesting for researchers and lecturers in many disciplines
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- About this book
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This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others.
As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.
- Table of contents (15 chapters)
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Swarm Intelligence and Evolutionary Computation: Overview and Analysis
Pages 1-23
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Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques
Pages 25-47
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Fireflies in the Fruits and Vegetables: Combining the Firefly Algorithm with Goal Programming for Setting Optimal Osmotic Dehydration Parameters of Produce
Pages 49-69
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Hybrid Metaheuristic Algorithms: Past, Present, and Future
Pages 71-83
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Binary Flower Pollination Algorithm and Its Application to Feature Selection
Pages 85-100
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Table of contents (15 chapters)
- Download Preface 1 PDF (45.3 KB)
- Download Sample pages 2 PDF (1.3 MB)
- Download Table of contents PDF (59.5 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Recent Advances in Swarm Intelligence and Evolutionary Computation
- Editors
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- Xin-She Yang
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 585
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-13826-8
- DOI
- 10.1007/978-3-319-13826-8
- Hardcover ISBN
- 978-3-319-13825-1
- Softcover ISBN
- 978-3-319-35681-5
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XI, 300
- Number of Illustrations
- 79 b/w illustrations, 15 illustrations in colour
- Topics
