Fireworks Algorithm
A Novel Swarm Intelligence Optimization Method
Table of contents
About this book
Introduction
This book is devoted to the state-of-the-art in all aspects of fireworks algorithm (FWA), with particular emphasis on the efficient improved versions of FWA. It describes the most substantial theoretical analysis including basic principle and implementation of FWA and modelling and theoretical analysis of FWA. It covers exhaustively the key recent significant research into the improvements of FWA so far. In addition, the book describes a few advanced topics in the research of FWA, including multi-objective optimization (MOO), discrete FWA (DFWA) for combinatorial optimization, and GPU-based FWA for parallel implementation. In sequels, several successful applications of FWA on non-negative matrix factorization (NMF), text clustering, pattern recognition, and seismic inversion problem, and swarm robotics, are illustrated in details, which might shed new light on more real-world applications in future. Addressing a multidisciplinary topic, it will appeal to researchers and professionals in the areas of metaheuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.
Keywords
Cooperation and coordination Explosive search manner Fireworks algorithm GPU-based parallel implementation Gaussian mutation operation Heuristic Randomized search Multi-agent systems Multi-objective FWA Parallel computing models Swarm intelligence algorithm
Bibliographic information
- DOI https://doi.org/10.1007/978-3-662-46353-6
- Copyright Information Springer-Verlag Berlin Heidelberg 2015
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Computer Science
- Print ISBN 978-3-662-46352-9
- Online ISBN 978-3-662-46353-6
- Buy this book on publisher's site