Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 585)
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Table of contents (15 chapters)
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Front Matter
Keywords
- Bat Algorithm
- Bio-inspired Computation
- Bioinformatics
- Classifications
- Computational Intelligence
- Data Mining
- Data Modeling
- Evolutionary Computing
- Heuristics
- Image Processing
- Informatics
- Intelligent Algorithm
- Machine Learning
- Metaheuristic
- Multi-criteria Decision Making
- Neural Network
- Optimization
- Pattern Formation
- Smart Algorithm
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Swarm Intelligence and Evolutionary Computation
Editors: Xin-She Yang
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-13826-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-13825-1Published: 08 January 2015
Softcover ISBN: 978-3-319-35681-5Published: 24 September 2016
eBook ISBN: 978-3-319-13826-8Published: 27 December 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 300
Number of Illustrations: 79 b/w illustrations, 15 illustrations in colour