Broderick Crawford1,*, Ricardo Soto1, Hanns de la Fuente Mella1, Claudio Elortegui1, Wenceslao Palma1, Claudio Torres-Rojas1, Claudia Vasconcellos-Gaete2, Marcelo Becerra1, Javier Peña1, Sanjay Misra3
CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4295-4318, 2022, DOI:10.32604/cmc.2022.023068
Abstract Currently, the industry is experiencing an exponential increase in dealing with binary-based combinatorial problems. In this sense, metaheuristics have been a common trend in the field in order to design approaches to solve them successfully. Thus, a well-known strategy consists in the use of algorithms based on discrete swarms transformed to perform in binary environments. Following the No Free Lunch theorem, we are interested in testing the performance of the Fruit Fly Algorithm, this is a bio-inspired metaheuristic for deducing global optimization in continuous spaces, based on the foraging behavior of the fruit fly, which usually has much better sensory… More >
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