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22
Research Article Journal Bearing Optimization Using Nonsorted Genetic Algorithm and Artificial Bee Colony Algorithm
"... License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In this work, a journal bearing optimization process has been developed and is divided into two stages. Each one has a set of decision variables and custom objectives ..."
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aggregating performances with a weighting strategy. The performance functions used are an artificial neural network, trained with Reynolds equation solutions, and a CFD simulation of the bearings carried out with commercial software. The results show the capabilities of the algorithm to design and optimize
Optimization of distribution network configuration for loss reduction using artificial bee colony algorithm
- International Journal of Electrical Power and Energy Systems Engineering
"... Abstract—Network reconfiguration in distribution system is realized by changing the status of sectionalizing switches to reduce the power loss in the system. This paper presents a new method which applies an artificial bee colony algorithm (ABC) for determining the sectionalizing switch to be operat ..."
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Cited by 13 (0 self)
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Abstract—Network reconfiguration in distribution system is realized by changing the status of sectionalizing switches to reduce the power loss in the system. This paper presents a new method which applies an artificial bee colony algorithm (ABC) for determining the sectionalizing switch
Research Article Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization
"... Copyright © 2014 Lianbo Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper presents a novel optimization algorithm, ..."
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, namely, hierarchical artificial bee colony optimization, called HABC, to tackle the radio frequency identification network planning (RNP) problem. In the proposed multilevel model, the higher-level species can be aggregated by the subpopulations from lower level. In the bottom level, each subpopulation
Research Article Enhancing Artificial Bee Colony Algorithm with Self-Adaptive Searching Strategy and Artificial Immune Network Operators for Global Optimization
"... Copyright © 2014 T. Chen and R. Xiao.This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Artificial bee colony (ABC) algorithm, inspired ..."
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by the intelligent foraging behavior of honey bees, was proposed by Karaboga. It has been shown to be superior to some conventional intelligent algorithms such as genetic algorithm (GA), artificial colony optimization (ACO), and particle swarm optimization (PSO). However, the ABC still has some limitations
TRAINING A FEED-FORWARD NEURAL NETWORK WITH ARTIFICIAL BEE COLONY BASED BACK- PROPAGATION METHOD
"... ABSTRACT Back-propagation algorithm is one of the most widely used and popular techniques to optimize the feed forward neural network training. Nature inspired meta-heuristic algorithms also provide derivative-free solution to optimize complex problem. Artificial bee colony algorithm is a nature in ..."
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ABSTRACT Back-propagation algorithm is one of the most widely used and popular techniques to optimize the feed forward neural network training. Nature inspired meta-heuristic algorithms also provide derivative-free solution to optimize complex problem. Artificial bee colony algorithm is a nature
Artificial Bee Colony Optimisation for Economc Load Dispatch of a Modern Power system
"... Abstract — This paper deals with optimization of fuel cost of coal fired generators of a modern power sytem. The conventional method of solving economic load dispatch (ELD) uses Newton Raphson, Gauss and Gauss Siedel techniques whose time of computation increases exponentially with the size. Inorder ..."
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Cited by 2 (0 self)
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. Inorder to overcome the dreawbacks of conventional methods, Artificial Intelligent (AI) techniques likes like Genetic Algorithm (GA), Nueral Networks (NN), Artificial Immune systems (AIS) and Fuzzy Logics etc … are used. One such AI technique used is Artificial Bee Colony optimization (ABC) inspired from
Review: An Analysis of Different Population based Optimization Techniques used for Optimum Allocation and Sizing of Distributed Generations in Distributed Network
"... ABSTRACT: This Paper presents a review on the discussion of different types of population based Artificial intelligence optimization techniques used in the distributed generations in Distributed Networks. With the growing popularity of the Distributed Generations in the recent world it is required ..."
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to determine the optimal location and size of the Distributed generations along with the reduction of the loss, improvement of Voltage Profile and reliability at lowest cost. For this different types of optimization techniques are used such as Firefly Algorithm, Genetic Algorithm, BFO, PSO, Artificial Bee
Classification using neural networks trained by swarm intelligence
"... Abstract: The metaheuristics are the algorithms that are designed to solve many optimization problems without needing knowledge about the corresponding problems in detail. Similar to other metaheuristics, the Migrating Birds Optimization (MBO) algorithm which is introduced recently is a nature inspi ..."
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for classification. Then, the same networks were trained by using other well-known powerful metaheuristic algorithms. These are the Artificial Bee Colony (ABC) algorithm, the Particle Swarm Optimization (PSO) algorithm, the Differential Evolution (DE) algorithm and the Genetic Algorithm (GA). Finally, the Levenberq
An Efficient Optimization based Vehicle Movement Prediction with Aid of Feed Forward Back Propagation Neural Network
"... Moving vehicle location prediction method mainly based on their spatial and temporal data.The moving objects has been developed as a specific research area of Geographic Information Systems (GIS). Most of the techniques have been used for performing the vehicle movement detection and prediction proc ..."
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, there’s no guarantee for fulfillment to finding a vehicle optimal path and also still now wants to improvement for choosing optimal path. To beat the disadvantage in the existing method, during this paper, to propose moving vehicle location prediction algorithm is an Artificial Bee Colony algorithm (ABC
Routing and Broadcasting in Ad-Hoc Networks
"... I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present ..."
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I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present
Results 1 - 10
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22
