A triple-spark guiding strategy to enhance the loser-out tournament-based fireworks algorithm

• Published in: Mathematical biosciences and engineering : MBE Vol. 20; no. 4; pp. 7234 - 7252
• Main Authors: Li, Sicheng, Zhu, Junhao, Han, Mingzhang, Fan, Mingjie, Zhao, Xinchao
• Format: Journal Article
• Language: English
• Published: United States AIMS Press 01.01.2023
• Subjects: differential evolution; fireworks algorithm; guiding strategy; loser-out tournament; single-object optimization; differential evolution; guiding strategy; fireworks algorithm; loser-out tournament; single-object optimization
• ISSN: 1551-0018; 1551-0018
• DOI: 10.3934/mbe.2023313

Loser-out tournament-based fireworks algorithm (LoTFWA) is a new baseline of fireworks algorithm (FWA). However, its ability to search deeply in local areas and communicate among fireworks is not satisfying enough. Therefore, this paper proposes a new triple-spark guiding strategy for LoTFWA to deal with the mentioned problems. Among the three sparks generated for guiding, one is exactly the same as the original one in LoTFWA, the second one uses the centroid of good sparks to enhance the local exploitation, and the last one is based on Differential evolution (DE) mutation and used to enhance cooperation and exploration. Experimental results show that with low computational cost, the proposed guiding strategy attains significantly better results than LoTFWA and is competitive with state-of-the-art FWA variants. Furthermore, comprehensive experiments show that the proposed strategy has the potential to combine with other FWA variants to achieve better results.