Bee Colony Optimization
A Novel Technique for Generation of Test Cases based on Bee Colony Optimization and Modified Genetic Algorithm (BCOmGA)
... sampling, bee colony optimization and modified genetic algorithm is applied to reduce the number of nodular paths to be tested for the validation of the ...
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Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization
... Jovanovic Irena have explained different types of software testing methods and techniques[5].Two generally classified testing technique like black box testing and white box testing is explained in this paper. They also ...
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A chaotic quantum bee colony optimization for thinned array
... quantum optimization algorithm because it has a strong ability for global search with small population size, rapid convergence and short computing time ...and bee colony optimization, quantum ...
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Phased Bee Colony Optimization Algorithm for Solving Mathematical Function
... efficient Bee Colony Optimization method, namely Phased Bee Colony Optimization (PBCO) technique for solving mathematical functions in a multidimensional ...the ...
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Speed Control of DC Motor Using Artificial Bee Colony Optimization Technique
... Optimization is best among the all methods which are used for tuning the parameter of PID controller for which settling time and rise is found to be less. The conventional controllers however are not recommended ...
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Stability Analysis of Artificial Bee Colony Optimization Algorithm
... Artificial Bee Colony (ABC) optimization algorithm is a population based optimization algorithm and uses an iterative method to achieve global maximum or ...The bee hive constitutes ...
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Ant Colony Optimization (ACO) and a Variation of Bee Colony Optimization (BCO) in Solving TSP Problem: A Comparative Study
... way returning to the nest. When new ant starts the searching pro- cess it follows the acid trails left by other ants to minimize the cost and enhance solution. Similarly for BCO algorithm[11] where bee searches ...
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A Novel Approach for Feature Selection based on the Bee Colony Optimization
... each bee is calculated, its value is saved if it is higher than any other previous forward paths, and at the end of the iteration is represented as the highest and best generated ...b-th bee is chosen as ...
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Artificial Bee Colony Optimization for Torque Improvement of Three Phase Induction Motor
... Artificial Bee Colony (ABC) optimization ...ABC optimization technique instead of conventional PI ...ABC optimization is better comparing to the torque output of the conventional PI ...
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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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HIDE : Human Inspired Differential Evolution – An Algorithm under Artificial Human Optimization Field
... Human Optimization is a new field that came into existence on December ...the optimization algorithms that were created and are being created based on Artificial Humans will come under Artificial Human ...
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Hybrid Bee Colony And Weighted Ranking Firefly Optimization For Cancer Detection From Gene Regulatory Sequences
... several optimization techniques identify the disordered genes in given gene expression ...Annealed Bee Colony and Weighted Ranking Firefly Optimization technique is ...ial bee ...
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Title: An Exploration on Graph Coloring Behaviour and Methods
... the optimization algorithms in integrated form to generate the effective colorization ...(Artificial Bee Colony) optimization algorithm to provide the graph coloring ...The optimization ...
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A Review of SLA Constraints and Scheduling Methods and Behaviour
... (Artificial Bee Colony) optimization to achieve the constraint specific feature map to reduce the confliction and to provide the better feature map with cloud ...the optimization to the ...
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Nature inspired metaheuristic algorithms a comparative review
... An optimization algorithm is a procedure which is executed iteratively by comparing various solutions till an optimum or a satisfactory solution is ...the optimization problems because of their easy ...
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Experimental analysis of time complexity and solution quality of swarm intelligence algorithm
... If the food source does not improve in the fix number of trials (limit a control parameter) then employed bees turns into scout bees and randomly forage for the new food sources. Initially ABC was designed to handle ...
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Vol 7, No 9 (2017)
... artificial bee colony (ABC) optimization technique is proposed along with neural network for VM migrations in cloud ...Artificial Bee Colony (ABC) is applied and Performance of all ...
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Experimental analysis of time complexity and solution quality of swarm intelligence algorithm
... If the food source does not improve in the fix number of trials (limit a control parameter) then employed bees turns into scout bees and randomly forage for the new food sources. Initially ABC was designed to handle ...
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An Efficient Artificial Bee Colony Algorithm for Constrained Optimization Problems
... constrained optimization problems in which two new search equations proposed for employed bee and onlooker bee phases to enhance the global convergence of ABC algorithm to solve ...
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IMPLEMENTATION OF PARALLEL ARTIFICIAL BEE COLONY ALGORITHM ON VEHICLE ROUTING PROBLEM
... Artificial bee colony algorithm are, the number of food sources which is equal to the number of employed/onlooker bees (CS-Colony Size), the working to onlooker bee rate, the value of the ...
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