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Solving UAV Localization Problem with Artificial Bee Colony (ABC) Algorithm
2019 4th International Conference on Computer Science and Engineering (UBMK), 2019Driven by the wireless communication, sensor, vision system and battery technologies, unmanned aerial vehicles for short UAVs have started to be used for solving social, commercial or military applications including traffic surveillance, package transportation, wildlife research and critical area monitoring. In addition to the mentioned usage scenarios
Aslan S., Demirci S.
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Artificial neural network synthesis by means of artificial bee colony (ABC) algorithm
2011 IEEE Congress of Evolutionary Computation (CEC), 2011Artificial bee colony (ABC) algorithm has been used in several optimization problems, including the optimization of synaptic weights from an Artificial Neural Network (ANN). However, this is not enough to generate a robust ANN. For that reason, some authors have proposed methodologies based on so-called metaheuristics that automatically allow designing
Beatriz A. Garro +2 more
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An Improved Artificial Bee Colony (ABC) Algorithm with Advanced Search Ability
2018 8th International Conference on Electronics Information and Emergency Communication (ICEIEC), 2018To solve the problem that Artificial Bee Colony (ABC) algorithm is easy to fall into local optimum, this paper proposes an improved Artificial Bee Colony (ABC) algorithm with advanced search ability. This algorithm focuses on adding the number of scouts by comparing the maximum value $Bas_{\max}$ , the second largest value $Bas_{second}$ and the ...
Yan Wang +4 more
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Optimization of Straight Cylindrical Turning Using Artificial Bee Colony (ABC) Algorithm
Journal of The Institution of Engineers (India): Series C, 2016Artificial bee colony (ABC) algorithm, that mimics the intelligent foraging behavior of honey bees, is increasingly gaining acceptance in the field of process optimization, as it is capable of handling nonlinearity, complexity and uncertainty. Straight cylindrical turning is a complex and nonlinear machining process which involves the selection of ...
Rajanampalli Seshasai Srinivasa Prasanth +1 more
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BE-ABC: Hybrid artificial bee colony algorithm with balancing evolution strategy
2012 Third International Conference on Intelligent Control and Information Processing, 2012Artificial bee colony algorithm (ABC), a heuristic algorithm motivated by the forging behavior of bee swarm, is competent to solve complex engineering problems yet imperfect in its exploitation process. For higher convergence speed and better searching accuracy, we propose balancing evolution strategy as an amendment, which seeks to balance local ...
Bai Li, Ya Li
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An upgraded artificial bee colony (ABC) algorithm for constrained optimization problems
Journal of Intelligent Manufacturing, 2012Artificial bee colony (ABC) algorithm developed by Karaboga is a nature inspired metaheuristic based on honey bee foraging behavior. It was successfully applied to continuous unconstrained optimization problems and later it was extended to constrained design problems as well.
Ivona Brajevic, Milan Tuba
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An improved artificial bee colony (ABC) algorithm for large scale optimization
2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013Artificial bee colony (ABC) algorithm as a new optimization algorithm invented recently has been applied to solve many kinds of combinatorial and numerical function optimization problems. The existing forms of ABC algorithms perform well in most cases.
Yu Liang, Yu Liu, Liang Zhang
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Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks
2007Training an artificial neural network is an optimization task since it is desired to find optimal weight set of a neural network in training process. Traditional training algorithms has some drawbacks such as getting stuck in local minima and computational complexity.
KARABOĞA, Derviş +2 more
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Classification of DNA Microarrays Using Artificial Bee Colony (ABC) Algorithm
2014DNA microarrays are a powerful technique in genetic science due to the possibility to analyze the gene expression level of millions of genes at the same time. Using this technique, it is possible to diagnose diseases, identify tumours, select the best treatment to resist illness, detect mutations and prognosis purpose.
Beatriz Aurora Garro +2 more
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An Artificial Bee Colony (ABC) Algorithm for Efficient Partitioning of Social Networks
International Journal of Intelligent Information Technologies, 2014Social networks clustering is an NP-hard problem because it is difficult to find the communities in a reasonable time; therefore, the solutions are based on heuristics. Social networks clustering aims to collect people with common interest in one group. Several approaches have been developed for clustering social networks. In this paper the researchers,
Amal M. Abu Naser, Sawsan Alshattnawi
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