Journal
APPLIED SOFT COMPUTING
Volume 36, Issue -, Pages 152-164Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2015.06.056
Keywords
Firefly algorithm; Chaotic maps; Design optimization; Non-linear programming
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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.
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