Adaptive firefly algorithm with chaos for mechanical design optimization problems

BAYKASOĞLU A., ÖZSOYDAN F. B.

APPLIED SOFT COMPUTING, vol.36, pp.152-164, 2015 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36
  • Publication Date: 2015
  • Doi Number: 10.1016/j.asoc.2015.06.056
  • Journal Name: APPLIED SOFT COMPUTING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.152-164
  • Keywords: Firefly algorithm, Chaotic maps, Design optimization, Non-linear programming, PARTICLE SWARM OPTIMIZATION, HARMONY SEARCH ALGORITHM, BAT ALGORITHM, SIMULATION, MODELS, SYSTEM
  • Dokuz Eylül University Affiliated: Yes

Abstract

Firefly algorithm (FA) is a newer member of bio-inspired meta-heuristics, which was originally proposed to find solutions to continuous optimization problems. Popularity of FA has increased recently due to its effectiveness in handling various optimization problems. To enhance the performance of the FA even further, an adaptive FA is proposed in this paper to solve mechanical design optimization problems, and the adaptivity is focused on the search mechanism and adaptive parameter settings. Moreover, chaotic maps are also embedded into AFA for performance improvement. It is shown through experimental tests that some of the best known results are improved by the proposed algorithm. (C) 2015 Elsevier B.V. All rights reserved.