Mixed variable structural optimization using Firefly Algorithm
Computers & StructuresPublished 14 September 2011
Amir H. Gandomi, Xin‐She Yang, Amir H. Alavi
Citations806
SJR quartileQ1
SJR score1.30
SNIP1.70
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TL;DR
A recently developed metaheuristic optimization algorithm, the Firefly Algorithm, which mimics the social behavior of fireflies based on their flashing characteristics is used for solving mixed continuous/discrete structural optimization problems.
Abstract
In this study, a recently developed metaheuristic optimization algorithm, the Firefly Algorithm (FA), is used for solving mixed continuous/discrete structural optimization problems. FA mimics the social behavior of fireflies based on their flashing characteristics. The results of a trade study carried out on six classical structural optimization problems taken from literature confirm the validity of the proposed algorithm. The unique search features implemented in FA are analyzed, and their implications for future research work are discussed in detail in the paper.
Keywords
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