Artificial bee colony algorithms
Digital Filter Design Using Improved Artificial Bee Colony Algorithms
... Evolutionary algorithms are population-based metaheuristic algorithms inspired by the biological behaviors of ...optimization algorithms such as steepest descent and Newton’s like methods, these ...
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Comparison between ABC and CS Algorithms with respect to Capacitor Allocations in Radial Distribution Networks to Minimize of Power Loss
... and Artificial Bee Colony (ABC) ...and artificial bee colony algorithms identifies optimal sizing and placement and takes the final decision for optimal location within ...
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Handling Optimization Problem, and the Scope of Varied Artificial Bee Colony (ABC) Algorithms: A Contemporary
... Abstract— One of the most successful search algorithms of the last decade is Artificial Bee Colony (ABC) algorithm. It was first coined by Dervis Karaboga, 2005. Since then a group of variants ...
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A Study of Various Metaheuristic Techniques used for Software Testing
... optimization algorithms were presented. These are genetic algorithm, ant colony optimization, artificial bee colony, particle swarm ...other algorithms, while in terms of ...
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A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem
... Artificial bee colony (ABC) algorithm has proved its importance in solving a number of problems including engineering optimization ...Inspired Algorithms (NIA) when applied for both benchmark ...
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HIDE : Human Inspired Differential Evolution – An Algorithm under Artificial Human Optimization Field
... optimization algorithms that were created and are being created based on Artificial Humans will come under Artificial Human Optimization ...Ant Colony Optimization are Artificial Ants, ...
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A new levenberg marquardt based back propagation algorithm trained with cuckoo search
... in artificial neural network and is also very popular optimization task in finding an optimal weight sets during the training ...propagation algorithms have some drawbacks such as getting stuck in local ...
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Bat BP: a new bat based back propagation algorithm for efficient data classification
... Abstract. Training neural networks particularly back propagation algorithm is a complex task of great importance in the field of supervised learning. One of the nature inspired meta-heuristic Bat algorithm is becoming a ...
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Experimental analysis of time complexity and solution quality of swarm intelligence algorithm
... nature-inspired algorithms; particle swarm optimization, bat algorithm and artificial bee colony to determine which of the algorithms converge ...the algorithms. We have used ...
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Experimental analysis of time complexity and solution quality of swarm intelligence algorithm
... nature-inspired algorithms; particle swarm optimization, bat algorithm and artificial bee colony to determine which of the algorithms converge ...the algorithms. We have used ...
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Multi-Objective QoS-based Reusable Service Selection enhanced with Artificial Bee Colony (MQRSABC)
... optimization algorithms, such as Genetic Algorithms (GA) [2, 3], Particle Swarm Optimization (PSO) algorithm [4, 5], Ant Colony Optimization (ACO) algorithm [6], and so ...
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Utilization of Soft Computing for Evaluating the Performance of Stone Sawing Machines, Iranian Quarries
... and Artificial Bee Colony (ABC) algorithms were used as soft computing techniques to classify dimension stones based on physical and mechanical properties and ampere ...(PSO), ...
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A Comprehensive Study in Wireless Sensor Network (WSN) using Artificial Bee Colony (ABC) Algorithms
... the Artificial Bee Colony algorithm is introduced for solving the delay-energy trade-off ...some artificial bees in the population to discover the places of food ...
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Optimizing channel cross section in irrigation area using improved cat swarm optimization algorithm
... (SI) algorithms [7] such as Artificial Bee Colony Algorithm, Genetic Algorithm have been used to optimize problems across channel cross section over the last decades [8] ...
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Fast Artificial Bee Colony for Clustering
... Artificial Bee Colony (ABC) Algorithm is one of the swarm intelligence, whereas its copy the mechanism of honey bee swarm’s intelligence to find the food source ...evolutionary ...
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Parameters Tuning of Hybrid Artificial Bee Colony Search based Strategy for t way Testing
... meta-heuristic algorithms in the related literature such as Particle Swarm Optimization [1, 2],Ant Colony Algorithm (ACA)[3], Harmony Search [4], Late Acceptance Hill Climbing [5], Artificial ...
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Dynamic artificial bee colony algorithm for multi-parameters optimization of support vector machine-based soft-margin classifier
... The original idea of ABC algorithm is to perform hier- archical optimization. Overall, global searching is per- formed by EB and local searching is implemented by OB. However, this idea is not prominent in traditional ...
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Optimization Algorithms Incorporated Fuzzy Q-Learning for Solving Mobile Robot Control Problems
... evolutionary algorithms and reinforcement learning is an important subject to control the ...These algorithms include the Ant colony, Bee Colony and Artificial Bee ...
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Population based meta-heuristic techniques for solving optimization problems: A selective survey
... genetic algorithms, ant colony optimization, particle swarm optimization and artificial bee ...mentioned algorithms are also ...
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IMPLEMENTATION OF PARALLEL ARTIFICIAL BEE COLONY ALGORITHM ON VEHICLE ROUTING PROBLEM
... The Artificial Bee Colony algorithm was introduced by Dervis Karaboga in ...Artficial Bee Colony Algorithm is an efficient algorithm to solve the problem of Vehicle Routing which is a ...
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