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

Explosion Operation of Fireworks Algorithm

Explosion Operation of Fireworks Algorithm
View Sample PDF
Author(s): Jun Yu (JSPS Research Fellow, Kyushu University, Japan) and Hideyuki Takagi (Kyushu University, Japan)
Copyright: 2020
Pages: 15
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.ch003

Purchase

View Explosion Operation of Fireworks Algorithm on the publisher's website for pricing and purchasing information.

Abstract

This chapter briefly reviews the basic explosion mechanism used in the fireworks algorithm (FWA) and comprehensively investigates relevant research on explosion operations. Since the explosion mechanism is one of the most core operations directly affecting the performance of FWA, the authors focus on analyzing the FWA explosion operation and highlighting two novel explosion strategies: a multi-layer explosion strategy and a scouting explosion strategy. The multi-layer explosion strategy allows an individual firework to perform multiple explosions instead of the single explosion used in the original FWA, where each round of explosion can be regarded as a layer; the scouting explosion strategy controls an individual firework to generate spark individuals one by one instead of generating all spark individuals within the explosion amplitude at once. The authors then introduce several other effective strategies to further improve the performance of FWA by full using the information generated by the explosion operation. Finally, the authors list some open topics for discussion.

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