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Optimization of Straight Cylindrical Turning Using Artificial Bee Colony (ABC) Algorithm

Journal of The Institution of Engineers (India): Series C, 2016
Artificial 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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Optimum design of electromagnetic solenoid by using Artificial Bee Colony (ABC) algorithm

2012 XXth International Conference on Electrical Machines, 2012
Recently, as electrical machinery design is some techniques of using electromagnetic numerical analysis with optimization methods. Usually, meta-heuristics is used in order for calculating the global optimal solution (strict solution) to have forced. A typical thing has the GA and IA which are classified into the evolutionistic calculation technique ...
Wataru Kitagawa, Takaharu Takeshita
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ABC+ES

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
This paper has the purpose of presenting a new hybridization of the Artificial Bee Colony Algorithm (ABC) based on the evolutionary strategies (ES) found on the Evolutionary Particle Swarm Optimization (EPSO). The main motivation of this approach is to augment the original ABC in a way that combines the effectiveness and simplicity of the ABC with the ...
Marco A. F. Mollinetti   +2 more
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Discovery of conserved regions in DNA sequences by Artificial Bee Colony (ABC) algorithm based methods

Natural Computing, 2018
The conserved regions between genomic sequences extracted from the different species give important information about the complex regulatory mechanisms of the transcription and translation processes. However, identification of these regulatory regions that are short DNA segments and called motifs is a major challenge in bioinformatics.
Dervis Karaboga, Selcuk Aslan
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A Fitter-Population Based Artificial Bee Colony (JA-ABC) Optimization Algorithm

2014
Inspired by the intelligent foraging behaviour of honeybees swarm, Artificial Bee Colony (ABC) has been introduced by Karagoba in 2005. ABC algorithm has exhibited superior performance compared to other algorithms such as Genetic Algorithm (GA), Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms.
J. Mohamad-Saleh   +2 more
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Artificial Bee Colony (ABC) Algorithm

2020
Erik Cuevas, Alma Rodríguez
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Online ABC miner: An online rule learning algorithm based on Artificial Bee Colony algorithm

2017 8th International Conference on Information Technology (ICIT), 2017
Data mining is the process of extracting a meaningful information from raw data. Classical data mining algorithms can be used to extract an offline static model for classification problems which has a collected dataset. Unfortunately, Offline algorithms cannot give a solution for nowadays' technologies with streaming data.
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Artificial Bee Colony (ABC) Algorithm for Multimodal Function Optimization

Advanced Science Letters, 2012
Yu Liu   +4 more
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Artificial Bee Colony Algorithm with Dynamic Parameter Values (ABC-DPV)

2020
Choosing the most useful among the many alternatives that provide the criteria is one of the problems that occupy life. For many conflicting criteria, the right choice takes a lot of time. In this context, the concept of “optimization” is one of the subjects that we encounter with different examples in individual life, and many companies in different ...
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