Fireworks Algorithm: A Novel Swarm Intelligence Optimization Method

✍ Scribed by Ying Tan (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2015
• Tongue: English
• Leaves: 344
• Edition: 1
• Category: Library

✦ Synopsis

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 modeling 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 metahuristics, swarm intelligence, evolutionary computation, complex optimization solving, etc.

✦ Table of Contents

Front Matter....Pages i-xxxix
Front Matter....Pages 1-1
Introduction....Pages 3-16
Fireworks Algorithm (FWA)....Pages 17-35
Modeling and Theoretical Analysis of FWA....Pages 37-58
Front Matter....Pages 59-59
FWA Based on Function Approximation Approaches....Pages 61-73
FWA with Controlling Exploration and Exploitation....Pages 75-85
Enhanced Fireworks Algorithm....Pages 87-102
Fireworks Algorithm with Dynamic Search....Pages 103-117
Adaptive Fireworks Algorithm....Pages 119-131
Cooperative Fireworks Algorithm....Pages 133-149
Hybrid Fireworks Algorithms....Pages 151-161
Front Matter....Pages 163-163
FWA for Multiobjective Optimization....Pages 165-188
S-Metric-Based Multi-objective Fireworks Algorithm....Pages 189-208
Discrete Firework Algorithm for Combinatorial Optimization Problem....Pages 209-226
Implementation of Fireworks Algorithm Based on GPU....Pages 227-243
Front Matter....Pages 245-245
FWA Application on Non-negative Matrix Factorization....Pages 247-262
FWA Applications on Clustering, Pattern Recognition, and Inversion Problem....Pages 263-284
Group Explosion Strategy for Multiple Targets Search in Swarm Robotics....Pages 285-299
Back Matter....Pages 301-323

✦ Subjects

Artificial Intelligence (incl. Robotics); Computational Intelligence; Numeric Computing; Robotics and Automation