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• W2558597002 abstract "In the present study, we examine the foraging behavior of the fruit fly (Drosophila), which unlike social insects, independently and autonomously forages. Moreover, we propose a new population-based, non-swarm intelligence search algorithm that mimics the foraging behaviors of fruit flies. We find that the time that a fruit fly stays in a food source region follows a power-law. A power-law distribution satisfies the scale-free property, so the observed behaviors of fruit flies can be called scale-free behaviors, which are modeled by the proposed algorithm. We examine the effect of scale-free behaviors on search performance by applying the proposed algorithm to 28 test functions with two real parameters. The results reveal that the scale-free property is related to a balance between exploration and exploitation and affects the search performance. Moreover, particular parameter values for fixing the scale-free property yield a better search performance for most of the test functions considered herein. The present paper does not provide a competent search algorithm for solving static optimization problems, but rather introduces a novel temporal property of individual behaviors, i.e., a scale-free property, which is expected to provide a new way to think about search algorithms." @default.
• W2558597002 created "2016-12-08" @default.
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• W2558597002 date "2016-07-01" @default.
• W2558597002 modified "2023-09-27" @default.
• W2558597002 title "Non-swarm intelligence search algorithm based on the foraging behaviors of fruit flies" @default.
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• W2558597002 doi "https://doi.org/10.1109/cec.2016.7743968" @default.
• W2558597002 hasPublicationYear "2016" @default.
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