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Artificial Bee Colony Algorithm with Uniform Mutation
2012Swarm intelligence systems are typically made up of a population of simple agents or bodies interacting locally with one another and with their environment. Particle swarm, Ant colony, Bee colony are examples of swarm intelligence. In the field of computer science and operations research, Artificial Bee Colony Algorithm (ABC) is an optimization ...
Amit Singh, Neetesh Gupta, Amit Sinhal
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A Clustering-Based Artificial Bee Colony Algorithm
2016An advanced Artificial Bee Colony (ABC) algorithm based on fuzzy C-means (FCM) clustering method is presented in this paper, aiming to make a balance between the exploitation and exploration. Firstly, FCM method is employed to divide the population into subpopulations, so that individuals only interact with those in the same subpopulation. Furthermore,
Ming Zhang +3 more
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Black Hole Artificial Bee Colony Algorithm
2016Artificial bee colony (ABC) is an efficient methodology to solve optimization problems. Here, in this article a modified variant of ABC, namely Black Hole ABC algorithm (BHABC) is proposed which is based on the natural space black hole (BH) phenomenon.
Nirmala Sharma +3 more
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An artificial bee colony algorithm for the capacitated vehicle routing problem
European Journal of Operational Research, 2011W Y Szeto, Yongzhong Wu, Sin C Ho
exaly
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences, 2012Bahriye Akay, Dervis Karaboga
exaly
Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation
Applied Energy, 2018Xu Chen, Bin Xu, Congli Mei
exaly
A multi-objective artificial bee colony algorithm
Swarm and Evolutionary Computation, 2012Reza Akbari, Koorush Ziarati
exaly
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing Journal, 2011Dervis Karaboga, Celal ÖZTÜRK
exaly

