Fireworks algorithm and its variants for solving ICSI2014 competition problems | |
Zheng, Shaoqiu ; Liu, Lang ; Yu, Chao ; Li, Junzhi ; Tan, Ying | |
刊名 | lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics |
2014 | |
英文摘要 | Firework algorithm (FWA) is a newly proposed swarm intelligence based optimization technique, which presents a different search manner by simulating the explosion of fireworks to search within the potential space till the terminal criterions are met. Since its introduction, a lot of improved work have been conducted, including the enhanced fireworks algorithm (EFWA), the dynamic search in FWA (dynFWA) and adaptive fireworks algorithm (AFWA). This paper is to use the FWA and its variants to take participate in the ICSI2014 competition, the performance among them are compared, and results on 2-, 10-, 30-dimensional benchmark functions are recorded. ? Springer International Publishing Switzerland 2014.; EI; 0; 442-451; 8795 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/411351] |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Zheng, Shaoqiu,Liu, Lang,Yu, Chao,et al. Fireworks algorithm and its variants for solving ICSI2014 competition problems[J]. lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics,2014. |
APA | Zheng, Shaoqiu,Liu, Lang,Yu, Chao,Li, Junzhi,&Tan, Ying.(2014).Fireworks algorithm and its variants for solving ICSI2014 competition problems.lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics. |
MLA | Zheng, Shaoqiu,et al."Fireworks algorithm and its variants for solving ICSI2014 competition problems".lecture notes in computer science including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics (2014). |
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