Accelerating the fireworks algorithm with an estimated convergence point

Jun Yu, Hideyuki Takagi, Ying Tan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

We propose an acceleration method for the fireworks algorithms which uses a convergence point for the population estimated from moving vectors between parent individuals and their sparks. To improve the accuracy of the estimated convergence point, we propose a new type of firework, the synthetic firework, to obtain the correct of the local/global optimum in its local area’s fitness landscape. The synthetic firework is calculated by the weighting moving vectors between a firework and each of its sparks. Then, they are used to estimate a convergence point which may replace the worst firework individual in the next generation. We design a controlled experiment for evaluating the proposed strategy and apply it to 20 CEC2013 benchmark functions of 2-dimensions (2-D), 10-D and 30-D with 30 trial runs each. The experimental results and the Wilcoxon signed-rank test confirm that the proposed method can significantly improve the performance of the canonical firework algorithm.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings
EditorsYing Tan, Yuhui Shi, Qirong Tang
PublisherSpringer Verlag
Pages263-272
Number of pages10
ISBN (Print)9783319938141
DOIs
Publication statusPublished - Jan 1 2018
Event9th International Conference on Swarm Intelligence, ICSI 2018 - Shanghai, China
Duration: Jun 17 2018Jun 22 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10941 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Swarm Intelligence, ICSI 2018
CountryChina
CityShanghai
Period6/17/186/22/18

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yu, J., Takagi, H., & Tan, Y. (2018). Accelerating the fireworks algorithm with an estimated convergence point. In Y. Tan, Y. Shi, & Q. Tang (Eds.), Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings (pp. 263-272). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10941 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-93815-8_26