IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Recent Developments of Fireworks Algorithms

Recent Developments of Fireworks Algorithms
View Sample PDF
Author(s): Ying Tan (Peking University, China)
Copyright: 2020
Pages: 41
Source title: Handbook of Research on Fireworks Algorithms and Swarm Intelligence
Source Author(s)/Editor(s): Ying Tan (Peking University, China)
DOI: 10.4018/978-1-7998-1659-1.ch001

Purchase

View Recent Developments of Fireworks Algorithms on the publisher's website for pricing and purchasing information.

Abstract

Fireworks Algorithm has been proposed for almost 10 years. Because of its basic but profound collaborative searching manner and advantages of universal effectiveness, hundreds of scholars have conducted and published a wide range of work on it. This chapter serves as a background description of fireworks algorithms' developments by introducing its detailed status of researches and applications. Specifically, it gives a brief summarization and analysis of published researches on Fireworks Algorithms since 2010 to clarify characteristics of its historical progress and future trend in detailed fields like algorithms improvements, theoretical analysis, and practical applications.

Related Content

Ying Tan. © 2020. 41 pages.
JunQi Zhang, JianQing Chen, WeiZhi Li. © 2020. 13 pages.
Jun Yu, Hideyuki Takagi. © 2020. 15 pages.
Daniel C. Lee, Katherine Manson. © 2020. 37 pages.
Sreeja N. K.. © 2020. 21 pages.
Shoufei Han, Kun Zhu. © 2020. 18 pages.
Yu Xue. © 2020. 28 pages.
Body Bottom