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A Fitter-Population Based Artificial Bee Colony (JA-ABC) Optimization Algorithm
2014Inspired 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) Optimization Algorithm for Solving Constrained Optimization Problems
2007This paper presents the comparison results on the performance of the Artificial Bee Colony (ABC) algorithm for constrained optimization problems. The ABC algorithm has been firstly proposed for unconstrained optimization problems and showed that it has superior performance on these kind of problems.
Dervis Karaboga, Bahriye Basturk
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Optimum design of electromagnetic solenoid by using Artificial Bee Colony (ABC) algorithm
2012 XXth International Conference on Electrical Machines, 2012Recently, 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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Artificial Bee Colony (ABC) algorithm in the design optimization of RC continuous beams
Structural and Multidisciplinary Optimization, 2013The objective of this study is to obtain the optimum design for reinforced concrete continuous beams in terms of cross section dimensions and reinforcement details using a fine tuned Artificial Bee Colony (ABC) Algorithm while still satisfying the constraints of the ACI Code (2008).
M. M. Jahjouh +2 more
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Performance optimization of axial-flow hydraulic turbine using artificial bee colony (ABC) algorithm
2017 International Conference on Sustainable Energy Engineering and Application (ICSEEA), 2017This paper presents the numerical optimization of axial-flow hydraulic turbine performance. The turbine was designed to operate at a net head of 0.9 meters, a rotational speed of 500 rpm, and maximum flow rates are 0.12 m3/s. The initial turbine design was optimized by using shock-free inflow criterion to minimize the hydrofoil losses at the turbine ...
Qidun Maulana Binu Soesanto +2 more
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The application of artificial bee colony (ABC) algorithm in FIR filter design
2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016The FIR filter has been widely used in the digital signal processing and other engineering calculations for its strictly linear phase and stability performance. The artificial bee colony (ABC) algorithm is a new kind of swarm intelligence optimization algorithm which has a strong search mechanism. This paper applies ABC into the linear-phase FIR filter
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Geotechnical and Geological Engineering, 2017
Penetrability is a dominant factor in selecting the suitable drilling method, adjustment of machine parameters and tool wear analysis. In this paper, it is aimed to classify the rock penetrability using Artificial Bee Colony (ABC) algorithm as one of the powerful meta-heuristic algorithms and Self-Organizing Map (SOM) as one of the precise scientific ...
Reza Mikaeil +2 more
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Penetrability is a dominant factor in selecting the suitable drilling method, adjustment of machine parameters and tool wear analysis. In this paper, it is aimed to classify the rock penetrability using Artificial Bee Colony (ABC) algorithm as one of the powerful meta-heuristic algorithms and Self-Organizing Map (SOM) as one of the precise scientific ...
Reza Mikaeil +2 more
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Artificial Bee Colony Algorithm with Dynamic Parameter Values (ABC-DPV)
2020Choosing 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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Online ABC miner: An online rule learning algorithm based on Artificial Bee Colony algorithm
2017 8th International Conference on Information Technology (ICIT), 2017Data 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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