IEEE AccessThe artificial bee colony (ABC) algorithm, inspired by the cooperative foraging behaviors observed in bees, is a prominent example of a swarm intelligence algorithm that offers significant advantages in optimization problems. However, the efficacy of the
Songyut Phoemphon
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Artificial Bee Colony and Newton Algorithm for Forward Position Solution of Parallel Mechanism
Jixie chuandong, 2019 By an organic combination of the intelligent optimization algorithm and the numerical iteration method， a general algorithm called hybrid artificial bee colony and Newton iteration （HABC-Newton） algorithm for solving the forward positions of parallel ...
Ping Li +4 more
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Data Optimization using Dynamic Technique with Artificial Bee Colony (ABC) Algorithm
JOURNAL OF INNOVATION IN APPLIED RESEARCH, 2021 Akhilesh A. Waoo, Mirza Samiulla Beg
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Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Improved with Genetic Operators [PDF]
Studies in Informatics and Control, 2012 Nebojsa Bacanin, Milan Tuba
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Parallelized Multiple Swarm Artificial Bee Colony Algorithm (MS-ABC) for Global Optimization [PDF]
Studies in Informatics and Control, 2014 Milos SUBOTIC, Milan TUBA
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A continuous artificial bee colony algorithm for solving uncapacitated facility location problems. [PDF]
Sci RepAn M, Xiang W, Jiang Y, Gao M, Meng X.
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Factor of safety prediction for high road embankments using mixed effects random forest and bee colony optimization. [PDF]
Sci RepBoufarh R, Boursas F, Bakri M, Djabri A.
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An Improved Artificial Bee Colony Algorithm with a Probabilistic Crossover and Lock Mechanism. [PDF]
Biomimetics (Basel)Haber Z, Uguz H, Hakli H.
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Learning-aided Artificial Bee Colony with neural knowledge transfer for global optimization. [PDF]
Sci RepSaini G, Jadon SS, Chaube S.
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