Handbook of Research on Fireworks Algorithms and Swarm Intelligence

Handbook of Research on Fireworks Algorithms and Swarm Intelligence

Noted as an IGI Global Core Reference Title in Computer Science & IT for 2019.

Ying Tan (Peking University, China)
Release Date: December, 2019|Copyright: © 2020 |Pages: 471|DOI: 10.4018/978-1-7998-1659-1
ISBN13: 9781799816591|ISBN10: 1799816591|EISBN13: 9781799816607
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Description

In recent years, swarm intelligence has become a popular computational approach among researchers working on optimization problems throughout the globe. Several algorithms inside swarm intelligence have been implemented due to their application to real-world issues and other advantages. A specific procedure, Fireworks Algorithm, is an emerging method that studies the explosion process of fireworks within local areas. Applications of this developing program are undiscovered, and research is necessary for scientists to fully understand the workings of this innovative system.

The Handbook of Research on Fireworks Algorithms and Swarm Intelligence is a pivotal reference source that provides vital research on theory analysis, improvements, and applications of fireworks algorithm. While highlighting topics such as convergence rate, parameter applications, and global optimization analysis, this publication explores up-to-date progress on the specific techniques of this algorithm. This book is ideally designed for researchers, data scientists, mathematicians, engineers, software developers, postgraduates, and academicians seeking coverage on this evolutionary computation method.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Computational Complexity
  • Convergence Rate
  • Cooperation Mechanism
  • Engineer Optimization
  • Fitness Landscape
  • Global Optimization Analysis
  • Hybrid Methods
  • Parameter Applications
  • Structure Models Training
  • Trajectory Analysis

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Ying Tan is a full professor and PhD advisor at the School of Electronics Engineering and Computer Science of Peking University, and director of Computational Intelligence Laboratory at Peking University (PKU). He received his BEng, MS, and PhD from Southeast Univ., in 1985, 1988, and 1997, respectively. He is the inventor of Fireworks Algorithm (FWA). He serves as the Editor-in-Chief of International Journal of Computational Intelligence and Pattern Recognition (IJCIPR), the Associate Editor of IEEE Transaction on Cybernetics (Cyb), the Associate Editor of IEEE Transaction on Neural Networks and Learning Systems (NNLS),International Journal of Artificial Intelligence (IJAI), International Journal of Swarm Intelligence Research (IJSIR), etc. He also served as an Editor of Springer’s Lecture Notes on Computer Science (LNCS) for more than 15 volumes, and Guest Editors of several referred Journals, including Information Science, Softcomputing, Neurocomputing, Natural Computing, International Journal of Artificial Intelligence, IJSIR, B&B, Computer Journal, IEEE/ACM Transactions on Computational Biology and Bioinformatics. He is a member of Emergent Technologies Technical Committee (ETTC), Computational Intelligence Society of IEEE since 2010. He is a senior member of IEEE and ACM and a senior member of the CIE. He is the founder and chair of the ICSI International Conference series. He was the general chair of joint general chair of 1st&2nd BRICS CCI, program committee co-chair of IEEE WCCI 2014, publicity chair of IEEE SSCI 2016, etc. Prof. Ying Tan’s main interests include computational intelligence, swarm intelligence, swarm robotics, data mining, and intelligent information processing for information security. He has published more than two-hundred papers in refereed journals and conferences in these areas, and authored/co-authored ten books and fifteen book chapters, and received three invention patents.