Results 141 to 150 of about 22,927 (228)

A New Modified Artificial Bee Colony Algorithm with Exponential Function Adaptive Steps. [PDF]

Comput Intell Neurosci, 2016
Mao W, Lan HY, Li HR.
europepmc   +1 more source

Weighted Global Artificial Bee Colony Algorithm Makes Gas Sensor Deployment Efficient. [PDF]

Sensors (Basel), 2016
Jiang Y, He Z, Li Y, Xu Z, Wei J.
europepmc   +1 more source

Factor of safety prediction for high road embankments using mixed effects random forest and bee colony optimization. [PDF]

Sci Rep
Boufarh R, Boursas F, Bakri M, Djabri A.
europepmc   +1 more source

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An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to its significance in real-life applications. This work proposes an improved artificial bee colony (ABC) algorithm with $Q$ -learning, named QABC, for solving it ...
Hanxiao Li, Kaizhou Gao, Pei-yong Duan, Jun-qing Li, Le Zhang   +4 more
semanticscholar   +1 more source

A novel self-adaptive multi-strategy artificial bee colony algorithm for coverage optimization in wireless sensor networks

Ad hoc networks, 2023
Wireless sensor node coverage optimization is a critical issue in wireless sensor networks (WSN), which is a commonly typical NP-hard problem. To enhance the coverage of wireless sensor networks, coverage optimization refers to the prudent placement of ...
J. Wang, Y. Liu, S. Rao, Xinyu Zhou, Jinbin Hu   +4 more
semanticscholar   +1 more source

A Reinforcement Learning Driven Artificial Bee Colony Algorithm for Distributed Heterogeneous No-Wait Flowshop Scheduling Problem With Sequence-Dependent Setup Times

IEEE Transactions on Automation Science and Engineering, 2023
The distributed heterogeneous factory system is a typical scenario in the manufacturing industry. A distributed heterogeneous no-wait flowshop scheduling problem with sequence-dependent setup times (DHNWFSP-SDST) is studied in this paper. The differences
Fuqing Zhao, Zhenyu Wang, Ling Wang
semanticscholar   +1 more source

Artificial Bee Colony Algorithm

2020
This research focused on introduction to the Artificial Bee Colony (ABC) algorithm, the foraging behavior and waggle dance of honeybees while passing information about a given food source to the rest of the bee colony. The mathematical modelling and real-life application of the bee algorithm in fast moving grocery retail outlet was presented, the ...
Modestus O. Okwu, Lagouge K. Tartibu
openaire   +2 more sources

Shuffled artificial bee colony algorithm

Soft Computing, 2016
In this study, we have introduced a hybrid version of artificial bee colony (ABC) and shuffled frog-leaping algorithm (SFLA). The hybrid version is a two-phase modification process. In the first phase to increase the global convergence, the initial population is produced using randomly generated and chaotic system, and then in the second phase to ...
Tarun Kumar Sharma, Millie Pant
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Balanced artificial bee colony algorithm

International Journal of Artificial Intelligence and Soft Computing, 2013
Artificial bee colony ABC optimisation algorithm is relatively a recent and simple population-based probabilistic approach for global optimisation over continuous and discrete spaces. It has reportedly outperformed a few evolutionary algorithms EAs and other search heuristics when tested over both benchmark and real world problems.
Jagdish Chand Bansal, Harish Sharma, Atulya Nagar, K.V. Arya   +3 more
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