Bee Colony Optimization (bco)
A chaotic quantum bee colony optimization for thinned array
... quantum bee colony optimization (CQBCO) for discrete optimization ...quantum bee colony optimization (QBCO), which is an effective discrete optimization ...quantum ...
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Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization
... priority. Bee Colony Optimization based upon natural phenomena algorithm is used in it to find out the best ...using bee colony optimization and ant colony ...
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Phased Bee Colony Optimization Algorithm for Solving Mathematical Function
... their dimensions increased to 100. The benchmark functions listed in Table 1 has tested on various other optimization techniques. Among them, ALEP (Adaptive Levy Evolutionary Programming) [16] uses evolutionary ...
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Multimodal image fusion and bee colony optimization for brain tumor detection
... Thus, the proposed method uses ANN (Artificial Neural Network), Bee Colony Optimization technique and Matlab applications to achieve the desired goal. The primary products or images used for fusion ...
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Analytical Evaluation of Meta Heuristic Approaches For Satellite Image Classification
... Based Optimization (BBO), Artificial Bee Colony Optimization (ABC), Intelligent Water Drops Algorithm (IWD), Cuckoo Search (CS), Firefly Algorithm (FA), Particle Swarm Optimization ...
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A Novel Technique for Generation of Test Cases based on Bee Colony Optimization and Modified Genetic Algorithm (BCOmGA)
... The study deals with the efficient and comprehensive testing of various possibilities defined by the automated card management system. Consider the Activity diagram derived from the proposed algorithm; there are 6 unique ...
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Speed Control of DC Motor Using Artificial Bee Colony Optimization Technique
... bio-inspired optimization technique of Artificial Bee Colony Optimization ...bio-inspired optimization technique in controllers and their advantages over conventional methods is ...
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Optimization of power systems through an artificial bee colony algorithm
... of optimization methods in the different processes involved in an electric power system in the search for energetic efficiency has generated satisfying results in the reduction of energy consumption, technical ...
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Ant Colony Optimization (ACO) and a Variation of Bee Colony Optimization (BCO) in Solving TSP Problem: A Comparative Study
... than BCO for small number of iterations, but as the number of iterations is increasing the execu- tion time difference between ACO and enhanced BCO decreases, in other words, for big search space/ cities ...
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Nature inspired metaheuristic algorithms a comparative review
... different optimization problems ...nature-inspired optimization algorithms are widely used to find better solutions and their best ...swarm optimization (PSO) algorithm, Bee colony ...
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Experimental Investigation of Classification Algorithms for Predicting Lesion Type on Breast DCE MR Images
... artificial bee colony optimization algorithm trained neural network are being developed for classification of the suspicious lesions in breast ...artificial bee colony ...
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Application of Soft Computing Methods for Economic Load Dispatch Problems
... Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga [14, ...employed bee or onlooker probabilistically produces a modification on the position in her memory ...
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Improved Artificial Bee Colony Algorithm for Continuous Optimization Problems
... artificial bee colony (ABC) algorithm is a swarm-based metaheuristic optimization technique, developed by inspiring foraging and dance behaviors of honey bee ...employed bee, onlooker ...
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Quantum Artificial Bee Colony Algorithm for Numerical Function Optimization
... Artificial Bee Colony (QABC) Algorithm is ...the bee in the proposed algorithm; Section 4 describes the proposed QABC algorithm, and the simulation results are shown in section ...
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Optimal Power Flow using Cockroach Swarm Optimization
... [20] Zwe-Lee Gaing. Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE transactions on power systems, 18(3):1187–1195, 2003. [21] Veysel Gazi and Kevin M ...
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Functional link neural network – artificial bee colony for time series temperature prediction
... the colony of artificial bees consists of three groups, which are employed bees, onlookers and scouts ...employed bee. The number of employed bees in the colony is equal to the number of food sources ...
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STRENGTHENING ANTI JAM GPS SYSTEM WITH ADAPTIVE PHASE ONLY NULLING USING EVOLUTIONARY ALGORITHMS
... A Genetic Algorithm for nulls and side lobes level control in linear antenna arrays proposed by Goswami and Mandal [13] described design of a non-uniformly excited symmetric linear antenna array with optimized ...
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An Analytical Study of the Remote Sensing Image Classification Using Swarm Intelligence Techniques
... The concept of PSO in the field of remote sensing image classification has been introduced by Panchal et. al. by making the experimentation on the dataset of Alwar [6]. In this paper, the author has presented the concept ...
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Handling Optimization Problem, and the Scope of Varied Artificial Bee Colony (ABC) Algorithms: A Contemporary
... Weifeng Gao .et al [22] proposed a new iterative based dynamic search process that is very similar to the basic ABC algorithm. In general the actual search process followed by each of the bee concentrates to ...
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Population based meta-heuristic techniques for solving optimization problems: A selective survey
... Artificial Bee Colony (ABC) algorithm was introduced by Karaboga in ...employed bee which was exploiting the exhausted food source becomes a scout bee in search of further food sources once ...
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