Handbook of Research on Fireworks Algorithms and Swarm Intelligence
IGI Global
Editor in Chief
Ying Tan, Computational Intelligence Laboratory at Peking University, China
Call for Chapters
Proposals Submission Deadline: May 14, 2019
Full Chapters Due: June 30, 2019
Final Submission Date: November 30, 2019
Introduction
Fireworks algorithm (FWA, pdf) is an evolutionary optimization algorithm that multiple fireworks collaboratively search their local areas by explosion operation which conduct local-search by scattering sparks (individuals) around each firework. In each iteration, fireworks communicate with each other and decide their searching manner. For example, fireworks with better solutions explode in a smaller scope with more sparks to conduct local exploitation, well fireworks with worse solutions explode in a large scope with fewer sparks to accomplish a cheap global exploration.
In contrast with other swarm-based optimization methods, FWA applies a simple local search mechanism and mainly concerns the collaboration of fireworks by resource allocation, thus attracted a lot of interest since it's proposed. Many important publications of FWA and some latest FWA codes can be found at our FWA forum.
The book will be an introduction of the most recent works on theory analysis, algorithm improvements and applications of fireworks algorithm to help people with further researches and application. The authors will be the most experienced researchers and engineers so they would share their valuable knowledge on these topics.
p.s. You will not be charged for publishing chapters.
Objective
Fireworks algorithm is a widely concerned topic in optimization algorithms based on swarm intelligence. The book will be the most up-to-date summary of works on fireworks algorithms, including both important improvements in the algorithm and successful practical applications.
Firstly, the book should be a finely organized material for experienced researchers and engineers to learn the most up-to-date progress on fireworks algorithm and serve their current works. The book can also guide postgraduates to conduct researches in related fields like swarm intelligence or evolutionary computation. Finally, it helps beginners to quickly understand the states of this topic. There is no such a handbook on firework algorithm in recent years. It should lead to a number of works on fireworks algorithm and also help researches in evolutionary computation and swarm intelligence.
Target Audience
The book services both experienced and starting researchers of fireworks algorithm on the most recent and important research development. And anyone who's willing to apply it in some practical optimization tasks, like postgraduates and engineers who's going to work with this method. It is also a reference for people working in other Swarm Intelligence fields.
Recommended Topics
Most up-to-date works about Fireworks Algorithm (FWA), including:
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Theoretical Analysis, including Global Optimization Ability Analysis, Convergence Rate Estimation, Searching Trajectory Analysis, Computational Complexity, and others.
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New Algorithms and Improvements, including improvements or introductions of FWA operators based on Classical Probabilistic or Statistic Methods, Information Utilization, Cooperation Mechanism, Fitness-Landscape Estimation, and others.
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Hybrid Methods, including combinations with Gradient Methods, Probabilistic Methods, Evolutionary Methods, Swarm Methods, and others.
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Applications, including applications in Parameter or Structure Training of Models (like Neural Network), Practical Engineer Optimization Problem, Scheduling, and others.
Submission Procedure
Researchers and practitioners are invited to submit on or before April 30, 2019, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter.
Authors will be notified by May 30, 2019 about the status of their proposals and sent chapter guidelines.
Full chapters are expected to be submitted by June 30, 2019, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2020.
Headquartered in Hershey, Pennsylvania, IGI Global is a leading international academic publisher committed to facilitating the discovery of pioneering research that enhances and expands the body of knowledge available to the research community. Working in close collaboration with expert researchers and professionals from leading institutions, including Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, University of Cambridge, University of Oxford, Tsinghua University, Australian National University, IGI Global disseminates quality content across 350+ topics in 11 core subject areas. All of these publications have been contributed by over 100,000+ industry-leading researchers and experts worldwide ensuring that each publication contains the timeliest research.
Important Dates
May 14, 2019: Proposal Submission Deadline
May 30, 2019: Notification of Acceptance
June 30, 2019: Full Chapter Submission
August 30, 2019: Review Results Returned
September 30, 2019: Final Acceptance Notification
November 30, 2019: Final Chapter Submission
Inquiries
Email: FWA-IGI@ic-si.org
Phone: +86-173-1009-8847
You can join our WeChat group for immediate information:
You could also contact:
Yifeng Li, liyfieng0039@gmail.com
What's New
Any news or changes about this book will be informed here.
- Proposal submission deadline is postponed to May 14, 2019.
- The release time of review results is postponed to August 30, 2019.