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A novel binary artificial bee colony algorithm
Future Generation Computer Systems, 2019Abstract This paper presents a novel artificial bee colony algorithm for binary optimization in general. Our proposal, named NBABC, features a mechanism which limits the number of dimensions that can be changed in the employed and onlookers bees’ phase.
Clodomir J. Santana Jr. +4 more
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Optimizing network attacks by artificial bee colony
Information Sciences, 2017Abstract Over the past few years, the task of conceiving effective attacks to complex networks has arisen as an optimization problem. Attacks are modelled as the process of removing a number k of vertices, from the graph that represents the network, and the goal is to maximise or minimise the value of a predefined metric over the graph.
Manuel Lozano 0001 +3 more
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An improved artificial bee colony algorithm for clustering
Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014Artificial Bee Colony (ABC) algorithm, which was initially proposed for numerical function optimization, has been increasingly used for clustering. However, when it is directly applied to clustering, the performance of ABC is lower than expected. This paper proposes an improved ABC algorithm for clustering, denoted as EABC.
Qiuhang Tan +3 more
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Artificial Bee Colony Algorithm
2019Swarm intelligence and group behavior of honey bees was the inspiration basis of some metaheuristics. The first one is the Artificial Bee Colony (ABC) algorithm which was introduced by Karaboga in 2005 [1] based on the foraging behavior of honey bees. Other algorithms such as bee colony optimization [2] and bees algorithm [3] were also developed which ...
Ali Kaveh, Taha Bakhshpoori
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Adaptive Artificial Bee Colony for Numerical Optimization
2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW), 2018Artificial bee colony (ABC) is a population-based optimizer. It simulates bees' social behavior for searching better solutions in solution space. Either too large or too small colony size will influence ABC's solution searching performance directly. In order to deal with the problem, in this paper, an adaptive colony is proposed.
Sheng-Ta Hsieh +2 more
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A new artificial bee colony by improving the search of onlooker bees
International Journal of Wireless and Mobile Computing, 2016In this paper, we propose a New Artificial Bee Colony NABC algorithm to enhance the search ability of onlooker bees. In NABC, the employed bees and onlooker bees utilise different search strategies to generate new candidate solutions. Moreover, NABC does not use the roulette selection, and a new method is designed to select good solutions for the ...
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Artificial bee colony directive for continuous optimization
Applied Soft Computing, 2020Abstract The artificial bee colony (ABC) algorithm, a relatively new swarm intelligence optimization technique, has been shown to be a competitive alternative to other population-based algorithms. This paper fundamentally modifies the solution search equations of the ABC in a manner that sends bee agents in search of three types of search regions ...
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Modified Foraging Process of Onlooker Bees in Artificial Bee Colony
2012Artificial Bee colony (ABC), a recently developed optimization algorithm has gained the attraction of many researchers. The foraging behavior of bees is used to search the optimum solution to the problem. In this study the foraging process for food sources by onlooker bees is being modified, which combines the information of the best food sources ...
Tarun Kumar Sharma +2 more
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Enhancing Scout Bee Movements in Artificial Bee Colony Algorithm
2012In the basic Artificial Bee Colony (ABC) algorithm, if the fitness value associated with a food source is not improved for a certain number of specified trials then the corresponding bee becomes a scout to which a random value is assigned for finding the new food source.
Tarun Kumar Sharma, Millie Pant
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Parameter Tuning for the Artificial Bee Colony Algorithm
2009While solving a problem by an optimization algorithm, adjusting algorithm parameters have significant importance on the performance of the algorithm. A fine tuning of control parameters is required for most of the algorithms to obtain desired solutions.
Bahriye Akay, Dervis Karaboga
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