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- W4285242339 abstract "Swarms are individuals known as agents of a colony system that collectively performs computationally complex real-world problems in a very efficient way. The collaborative effort of these agents achieves a common goal in a distributed and self-organized manner. In nature, such individuals as bees in beehives, ants in colony system, and birds in the flocking system, etc., are some examples of a long list of swarms. An inspirational and efficient course of action in complex real-world problems of similar kind attracted researchers to study such optimization solutions. Bonabeau et al. have transported this natural swarm intelligence into artificial. This paper presents an extensive review of the state-of-the-art artificial bee colony optimization, inspired by the natural beehives system in various application domains. In addition to the performance in complex real-world engineering problems, the paper also enlights the computational feasibility of its candidacy in the related domain areas. Overall, the application domains are categorized into various specialized domains of computer science and robotics. Finally, the paper concludes with possible future research trends of bee colony optimization." @default.
- W4285242339 created "2022-07-14" @default.
- W4285242339 creator A5086453884 @default.
- W4285242339 date "2022-01-01" @default.
- W4285242339 modified "2023-09-23" @default.
- W4285242339 title "Social Structure to Artificial Implementation: Honeybees" @default.
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- W4285242339 doi "https://doi.org/10.1007/978-981-16-9113-3_21" @default.
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