[PDF] Top 20 Elite Opposition-based Artificial Bee Colony Algorithm for Global Optimization

Elite Opposition-based Artificial Bee Colony Algorithm for Global Optimization

... 4. 1. Experimental Settings In order to evaluate the effectiveness of the proposed EOABC, 15 classical benchmark test functions widely used in the evolutionary computation community are employed in the experiments [41, ... See full document

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Stability Analysis of Artificial Bee Colony Optimization Algorithm

... ABC algorithm in order to get better optimization results ...dimension, colony size, region scaling and effect of limit or abondment counter (AC) on the ABC algorithm has already been ... See full document

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Comparison of Evolutionary Optimization Techniques for Unconstrained

... science, optimization refers to the selection of a best element from some set of available ...Evolutionary optimization techniques can be used for getting near optimal solutions of difficult ... See full document

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An Improved Artificial Bee Colony Algorithm with Elite-Guided Search Equations

... solving optimization problems, the main challenge is how to maintain a delicate balance between the exploration and exploitation during the search process [5], and numerous ABC vari- ants have been proposed to ... See full document

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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 ... See full document

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Research on Application of Artificial Bee Colony Algorithm in Facial Expression Recognition

... ABC optimization is higher than the recognition rate of PSO optimization, and the stability is relatively ...overcome global convergence is better than that of ...the artificial bee ... See full document

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STRENGTHENING ANTI JAM GPS SYSTEM WITH ADAPTIVE PHASE ONLY NULLING USING EVOLUTIONARY ALGORITHMS

... an Artificial Bee Colony algorithm based novel optimization method based for interference cancellation design that maximizes gain to a desired angle and improves jamming ... See full document

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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction

... Genetic algorithm (GA) (Qiang et ...Ant Colony Optimization , ABC, Improved ABC algorithm, Hybrid Artificial Bee Colony (Karaboga et ...ABC algorithm (Bitam et ... See full document

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Energy loss minimization and reliability enhancement in radial distribution systems during line outages

... simulation algorithm to estimate optimal size of ...an Artificial Bee Colony algorithm based methodology for solving the capacitor allocation ...comprehensive algorithm ... See full document

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Personal Best Cuckoo Search Algorithm for Global Optimization

... Real-life optimization problems demand robust algorithms that perform efficient search in the environment without trapping in local optimal ...(CS) algorithm is also one of these optimization ... See full document

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Path Planning of Mobile Robot Based on Genetic Bee Colony Algorithm

... methods: artificial potential field [2], grid method [3] and so on, which have been applied in path ...as artificial field potential method is to control the speed, and it has the defect that the valuable ... See full document

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Bat BP: a new bat based back propagation algorithm for efficient data classification

... include global search techniques such as artificial bee colony back-propagation (ABC- BP) algorithm [11-12], genetic algorithm (GA) [13], hybrid PSO-BP [14], and evolutionary ... See full document

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Optimization of Suitable Propagation Model for Mobile Communication in Different Area

... 1) Artificial bees colony Algorithm ABC algorithm is a heuristic optimization algorithm introduced by Karaboga (Karaboga, 2005) inspired from how honey bees work together for ... See full document

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Improved Artificial Bee Colony Algorithm for Continuous Optimization Problems

... This paper presents an improved artificial bee colony (iABC) algorithm. iABC is based on neighbor selection mechanism for onlooker bees. As employed bees share position information with ... See full document

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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 ... See full document

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A comprehensive review of swarm optimization algorithms

... (SI) based approaches and aimed to provide a comparison among the well-known SI-based ...Genetic algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), ... See full document

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A Hybrid Clustering Approach using Artificial Bee Colony (ABC) and Particle Swarm Optimization

... etc based on the information that are found in the data describing the objects or their ...PSABC algorithm. The PSABC algorithm is a combination of Particle Swarm Algorithm (PSO) and ... See full document

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A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem

... employed bee become ...the optimization context, the number of food sources (that is the employed or onlooker bees) in ABC algorithm, is equivalent to the number of solutions in the ...the ... See full document

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An Efficient Artificial Bee Colony Algorithm for Constrained Optimization Problems

... Abstract: Artificial Bee Colony (ABC) algorithm is a relatively new swarm intelligence algorithm which has shown a competitive performance with respect to other population-based ... See full document

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Optimization of power systems through an artificial bee colony algorithm

... ABC algorithm is based on the processes of search and exploitation of food sources that a bee colony carries ...made based on the probability of each solution to be chosen [4] ... See full document

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