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Design of robust PSS to improve stability of composed LFC and AVR using ABC in deregulated environment [PDF]
, 2011 Abedinia, Oveis +3 more
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Optimization of Fuzzy Control Parameters for Wind Farms and Battery Energy Storage Systems Based on an Enhanced Artificial Bee Colony Algorithm under Multi-Source Sensor Data. [PDF]
Sensors (Basel)Liu Z +5 more
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Artificial Bee Colony Algorithm
2020This 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
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Shuffled artificial bee colony algorithm
Soft Computing, 2016In 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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Adaptive artificial bee colony optimization
Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013In this paper, we propose a novel greedy position update strategy for the ABC algorithm. The greedy position update strategy is implemented mainly in two steps. In the first step, good solutions randomly chosen from the top t solutions in the current population are used to guide the search process of onlooker bees. In the second step, the new parameter
Wei-jie Yu, Jun Zhang, Wei-neng Chen
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Scaled artificial bee colony programming
2018 International Conference on Applied Smart Systems (ICASS), 2018Problems of symbolic regression aim to develop a function, described in symbolic form, that fits a given target fitcases. Artificial bee colony programing algorithm (ABCP) is one of the most feasible automatic programming methods that was proposed to solve symbolic regression problems.
BOUDOUAOUI Yassine, HABBI Hacene
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2014
Another version of Artificial Bee Colony ABC optimization algorithm, which is called the Compact Artificial Bee Colony cABC optimization, for numerical optimization problems, is proposed in this paper. Its aim is to address to the computational requirements of the hardware devices with limited resources such as memory size or low price. A probabilistic
Thi-Kien Dao +4 more
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Another version of Artificial Bee Colony ABC optimization algorithm, which is called the Compact Artificial Bee Colony cABC optimization, for numerical optimization problems, is proposed in this paper. Its aim is to address to the computational requirements of the hardware devices with limited resources such as memory size or low price. A probabilistic
Thi-Kien Dao +4 more
openaire +1 more source
Self-adaptive artificial bee colony
Optimization, 2014Artificial Bee Colony (ABC) optimization algorithm is a swarm intelligence-based nature inspired algorithm, which has been proved a competitive algorithm with some popular nature-inspired algorithms. ABC has been found to be more efficient in exploration as compared to exploitation. With a motivation to balance exploration and exploitation capabilities
Jagdish Chand Bansal +4 more
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