Artificial bee colony algorithms (ABC)
Design Optimization of Plate Girder Using Generalized Reduced Gradient and Constrained Artificial Bee Colony Algorithms
... (Artificial Bee Colony Algorithm) which is evolutionary, there is much assurance that the function was not trapped in the local minima thus lending credibility to the ...
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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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Multi-Objective QoS-based Reusable Service Selection enhanced with Artificial Bee Colony (MQRSABC)
... enhanced Artificial Bee Colony (ABC) optimization algorithm, called the QoS-Based Reusable Service Selection with Multi-Objective Constraints using Artificial Bee Colony ...
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A Comprehensive Study in Wireless Sensor Network (WSN) using Artificial Bee Colony (ABC) Algorithms
... improved Artificial bee colony (iABC) metaheuristic with an improved search equation to enhance its exploitation capabilities and in order to increase the global convergence of the proposed ...
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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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Parameters Tuning of Hybrid Artificial Bee Colony Search based Strategy for t way Testing
... ABC algorithms’ variants have to promote the convergence speed, exploitation and exploration capability, and escape being confined at the local optimum [20, ...optimization algorithms or changing on ABC ...
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A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)
... Modified artificial bee colony (mcABC) algorithm for constrained optimization ...employed bee, onlooker bee and scout bee ...ABC algorithms referred to as JA-ABC3, JA-ABC4 ...
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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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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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Handling Optimization Problem, and the Scope of Varied Artificial Bee Colony (ABC) Algorithms: A Contemporary
... of artificial intelligence (AI) it is popular and has been in use by numerous researchers for a variety of application ...The artificial bee colony (ABC) algorithm helps to achieve desired ...
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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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A Study of Various Metaheuristic Techniques used for Software Testing
... other algorithms have been developed particularly to avoid being trapped in local ...Ant Colony Optimization algorithm is inspired by swarm intelligence introduced by Marco Dorgio in 1991 which is one of ...
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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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Optimization Algorithms Incorporated Fuzzy Q-Learning for Solving Mobile Robot Control Problems
... optimization algorithms can be ...Ant Colony Optimization-Fuzzy Qlearning (ACO-FQ), Bee Colony Optimization-Fuzzy Qlearning (BCO-FQ) and Artificial Bee Colony-Fuzzy ...
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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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Dynamic artificial bee colony algorithm for multi-parameters optimization of support vector machine-based soft-margin classifier
... As is shown in Figure 3, for dataset 1, D-ABC algorithm rapidly find a solution ~ x, with which SVM could best training the data and obtain a classification accuracy of 98.88 %, while original ABC algorithm and MR-ABC ...
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A Conceptual Comparison of Artificial Bee Colony and Particle Swarm Optimization
... metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is ...and Artificial Bee Colony ...both algorithms is implemented in ...
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An Enhanced Cooperative Harmony Search Algorithm for Solving Optimization Problems
... and artificial bee colony algorithm for global optimization problems have introduced the artificial bee colony algorithm is a new swarm intelligence technique inspired by ...
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