Results 161 to 170 of about 11,354 (208)
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Journal of Global Optimization, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Karaboga, Derviş, Basturk, Bahriye
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Karaboga, Derviş, Basturk, Bahriye
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Modified Artificial Bee Colony (ABC) Algorithm using Dynamic Technique
Asian Journal of Electrical Sciences, 2021The artificial Bee Colony Algorithm is a maximum optimization technique. It has been used in various research papers. In this paper, the dynamic technique has been used in Artificial Bee Colony Algorithm, before this algorithm used the greedy technology of the algorithm.
Mirza Samiulla Beg, Akhilesh A. Waoo
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Co-clustering optimization using Artificial Bee Colony (ABC) algorithm
Applied Soft Computing, 2020Abstract This paper presents an Artificial Bee Colony (ABC) optimization based algorithm for co-clustering of high-dimensional data. The ABC algorithm is used for optimization problems including data clustering. We incorporate aspects of co-clustering by embedding it into the objective function used for clustering by the ABC algorithm.
Syed Fawad Hussain +2 more
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Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks
2007 IEEE 15th Signal Processing and Communications Applications, 2007In this work, performance of the artificial bee colony algorithm, a recently proposed algorithm, has been tested on training on artificial neural networks which are widely used in signal processing applications and the performance of the algorithm has been compared to differential evolution and particle swarm optimization algorithms which are also ...
Dervis Karaboga, Bahriye Akay
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Overview of Artificial Bee Colony (ABC) algorithm and its applications
2012 IEEE International Systems Conference SysCon 2012, 2012Real-world optimization problems are very difficult and have high degrees of uncertainty. Conventional optimization algorithms have some limitations (i.e., local solution attainment and/or divergence) in solving such problems. On the other hand, meta-heuristic algorithms prove to be competent in outperforming deterministic algorithms, especially when ...
Fahad S. Abu-Mouti, Mohamed E. El-Hawary
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Crop Classification Using Artificial Bee Colony (ABC) Algorithm
2016Identifying which crop is growing in certain areas is important to many national and multinational agricultural agencies for forecasting grain supplies, monitoring farming activity, facilitating crop rotation records, etc. In order to achieve that, the agencies require to schedule censuses on a regular basis.
Roberto A. Vazquez, Beatriz A. Garro
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Designing of interacting RNAs using Artificial Bee Colony (ABC) algorithm
2015 8th Biomedical Engineering International Conference (BMEiCON), 2015One of polymeric biological molecules called ribonucleic acid (RNA) is involved in diverse biological roles in regulation of gene expression. Generally, secondary structures of RNA determine their functions in living organisms. In medical field, various structures of synthetic RNAs are much needed at present.
Jittrawan Thaiprasit +6 more
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ABC-Gly: Identifying Protein Lysine Glycation Sites with Artificial Bee Colony Algorithm
Current Proteomics, 2021Background: Glycation is a nonenzymatic post-translational modification process by attaching a sugar molecule to a protein or lipid molecule. It may impair the function and change the characteristic of the proteins which may lead to some metabolic diseases.
Yanqiu Yao +3 more
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Application Artificial Bee Colony Algorithm (ABC) for Reconfiguring Distribution Network
2010 Second International Conference on Computer Modeling and Simulation, 2010In Power Systems, distribution networks really spend amount of power loss. To reduce the power loss there are some solutions such as upgrading networks, setting capacitors at some places in networks, etc. This paper is concentrated on reconfiguring networks to reduce power loss. This means looking for a optimal configuration to operate the distribution
Nguyen Tung Linh, Nguyen Quynh Anh
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A comprehensive survey: artificial bee colony (ABC) algorithm and applications
Artificial Intelligence Review, 2012Swarm intelligence (SI) is briefly defined as the collective behaviour of decentralized and self-organized swarms. The well known examples for these swarms are bird flocks, fish schools and the colony of social insects such as termites, ants and bees. In 1990s, especially two approaches based on ant colony and on fish schooling/bird flocking introduced
KARABOĞA, Derviş +3 more
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