modified artificial bee colony
Modified Artificial Bee Colony Algorithm with Multilevel Threshold Segmentation and Boundaries Evaluation for Shadow Detection
... analysis is performed to find in which direction and what rate the value of pixels change. The edge response and curvature evaluation are used for complete mapping and smoothness of the curve. The algorithm 1 shows our ...
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Multi-Objective Of Optimal Distribution Network Reconfiguration By Using Modified Artificial Bee Colony Alorithm
... From this, the method that can use is by applying the reconfiguration feeder distribution on 33-bus network system. By reconfiguration the feeder that means by changing the topology switch of feeder distribution, it can ...
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Combined Economic Emission Dispatch Solution using Modified Artificial Bee Colony Algorithm
... ABSTRACT: In this paper, a new approach is proposed to solve combined economic emission dispatch (CEED) problem in power systems using modified artificial bee colony (MABC) algorithm ...
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ABC-T: Modified Artificial Bee Colony Algorithm with Parameter Tuning for Continuous Function Optimization
... a modified artificial bee colony algo- rithm with a concept mixing up the rate of exploration and ...onlooker bee and employed bee. As employed bee introduces randomness ...
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A modified ABC to Optimize the Parameters of Support Vector Machine for Predicting Bankruptcy
... a modified Artificial bee colony is used to optimize the value of the parameters C and σ 2 ...2. Artificial Bee Colony is presented in section ...model modified ...
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A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)
... using modified artificial bee colony (MABC) algorithm considering the power ...proposed modified Artificial Bee Colony (ABC) algorithm for solving least-cost path ...
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Multiplier less Farrow Structure based Linear Phase Low Pass Interpolation Filter
... In this paper, a multiplier-less farrow structure based linear phase low pass interpolation filter is designed and optimized in the dis- crete space using a modified artificial bee colony ...
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
... the Modified Artificial Bee Colony (MABC) (Zhang et ...Improved Artificial Bee Colony (IABC) (Shah and ...Ant Bee Colony (GHABC) algorithm, the Hybrid ...
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Modified Optimization by Artificial Bee Colony (MOABC) for improvement in content-based image retrieval performance
... Abstract:- Artificial Bee Colony(ABC) algorithm based optimization techniques are quite popular and focus for research in fields of Swarm ...on artificial bee colony (ABC) to ...
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An Improved Memetic Search in Artificial Bee Colony Algorithm
... employed bee phase and onlooker bee phase inspired by modified GSS process to balance the diversity and convergence speed of ...scout bee phase as an additional local search phase while ...
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A Novel Hybrid Crossover based Artificial Bee Colony Algorithm for Optimization Problem
... The first step consists of the evaluation of the population using the Artificial Bee Colony. Initial populations generated by ABC are used by employed bees. After this crossover operators are ...
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Dynamic artificial bee colony algorithm for multi-parameters optimization of support vector machine-based soft-margin classifier
... other modified ABC algorithms, whose modification is on other phase of original ABC algorithm, and it might further im- prove traditional ABC algorithm in future ...
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Fast Artificial Bee Colony for Clustering
... inspired bee colony optimization to gain the fast process to solve travelling salesman problem ...used bee swarm for fast clustering ...on artificial bee colony besides of recent ...
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Artificial Bee Colony algorithm using Structured Swarm
... A modified version of the Artificial Bee Colony algorithm are introduced and applied for e ffi ciently solving real-parameter optimization problems by Bahriye Akay and Dervis Karaboga in 2010[1] ...
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Stability Analysis of Artificial Bee Colony Optimization Algorithm
... [26], Artificial Bee Colony (ABC) op- timization algorithm [21], Differential Evolution (DE) algorithm [37], Harmony Search Algorithm (HSA) [17], Gravitational Search Algorithm (GSA) [33] are few ...
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Functional link neural network with modified bee firefly learning algorithm for classification task
... Neural networks and swarm intelligence methodologies have been proven effective in solving certain classes of problems. Neural Networks are good at mapping the input vector to outputs while Swarm Intelligence (SI) is ...
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HIDE : Human Inspired Differential Evolution – An Algorithm under Artificial Human Optimization Field
... on Artificial Humans will come under Artificial Human Optimization ...Ant Colony Optimization are Artificial Ants, agents in Bee Colony Optimization are Artificial Bees, ...
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A modified scout bee for artificial bee colony algorithm and its performance on optimization problems
... artificial bee colony (ABC) is one of the swarm intelligence algorithms used to solve optimization problems which is inspired by the foraging behaviour of the honey ...artificial bee colony with ...
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Optimal virtual network embedding based on artificial bee colony
... From Fig. 5a, d, compared to VNE-PSO, VNE-ABC gener- ates 35.4% more long-term average revenue and increases the virtual network requests acceptance by 11%. PSO algo- rithm has a high rate of convergence, but it traps ...
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Artificial bee colony algorithm with time varying strategy
... ing artificial bees and the food source [3, ...the colony of artificial bees contains three groups of bees: employed bees, onlookers, and ...employed bee, and then, the employed bee ...
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