[PDF] Top 20 Optimization of UMTS Network Planning Using Genetic Algorithms

Optimization of UMTS Network Planning Using Genetic Algorithms

... as UMTS, with the related advanced allowed services, has increased the need of an efficient network planning that could keep into account all the aspects of complexity which are typical of this new ... See full document

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Database Optimization Using Genetic Algorithms for Distributed Databases

... Database optimization is a process of maximizing the speed and efficiency with which kind of data is retrieved or simply it’s a mechanism that reduces database systems response ...Query optimization is one ... See full document

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Structural Topology Optimization Using Genetic Algorithms

... Abstract—Topology optimization has been widely used in industrial ...topology optimization is that the uncertain elements may result when gradient-based search methods are ...Although using binary ... See full document

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Energy optimization in wireless sensor networks based on genetic algorithms

... Energy Optimization in Wireless Sensor Networks based on Genetic Algorithms Energy Optimization in Wireless Sensor Networks Based on Genetic Algorithms Angela Rodriguez Intelligent Management Systems[.] ... See full document

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Optimization Models of Sound Systems Using Genetic Algorithms

... study, optimization models using genetic algorithms (GAs) are proposed to study the configuration of vowels and tone ...with optimization problems having multiple criteria. For ... See full document

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Optimization Problems And Genetic Algorithms

... The optimization task (Figure 1) involves finding a single or a series of optimal solutions from among a very large number of many possible solutions (Dhar & Stein, ...situations, genetic ... See full document

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Research on multi criterion optimization of computer communication network reliability using genetic algorithms

... COMPUTER NETWORK RELIABILITY USING GENETIC ALGORITHMS As a recent approach to optimization, Genetic Algorithm(GA) is employed in the research to do the optimization ... See full document

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Optimization of Security Communication Wired Network by Means of Genetic Algorithms

... The algorithms encode each parameters of the problem to be optimised into a proper sequence (where the alpha- bet used is generally binary) called a gene, and combine the different genes to constitute a ... See full document

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The Optimization of Irrigation Networks Using Genetic Algorithms

... distribution network for localised irrigation that was ob- tained through optimised simulation using genetic algorithms, including the consideration of the variation in the slope of the ... See full document

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Investigation of potato peel-based bio-sorbent efficiency in reactive dye removal: Artificial neural network modeling and genetic algorithms optimization

... used in this study, as it is very fast and can be employed quite easily. The number of hidden layers and nodes was determined via a trial and error procedure. GA toolbox in MATLAB (version 7) was used for generating the ... See full document

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Genetic Algorithms: Basic Concept and Applications

... Genetic Algorithms are easy to apply to a wide range of problems, from optimization problems like the traveling salesperson problem, to inductive concept learning, scheduling, and layout ...a ... See full document

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International Journal of Computer Science and Mobile Computing

... neural network, Genetic algorithms, Swarm optimization, etc are used for this purpose to distinguish, compare or process the various structure of ...sequence. Genetic Algorithm is a ... See full document

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Network Routing Protocol using Genetic Algorithms

... Genetic algorithms (GAs) are global search and optimization techniques modeled from natural selection, genetic and ...A genetic algorithm maintains a population of candidate solutions, ... See full document

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Modelling an integrated public transportation system a case study in Dublin, Ireland

... route network. Genetic Algorithms, which are known to be a robust optimization technique for this type of problem, are used in the Scheduling Sub ...route network and coordinated ... See full document

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An overview of population-based algorithms for multi-objective optimisation

... an optimization algorithm can be traced back to (Holland 1962) as a mixture of automata theory and theoretical ...several algorithms have been developed that utilize a population of decision vectors and by ... See full document

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A NOVEL APPROACH TO GENERATE TEST CASES FOR COMPOSITION & SELECTION OF WEB SERVICES BASED ON MUTATION TESTING

... [6]. Genetic algorithms are a population based mechanism, which is used to explore the search space better than other searching algorithms especially for problems that are ...NP-hard. Genetic ... See full document

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Optimal Design of Single-Phase Induction Motor Using MPSO and FEM

... By using the classical design equations and the evolutionary algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Modified Particle Swarm ... See full document

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Robot Path Planning Using Cellular Automata and Genetic Algorithm

... out by researchers in this field. Each of these researchers has tried to get an optimal response to this problem by choosing the right method. This issue, especially on a large scale, has many complexities that cannot be ... See full document

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A FASTER ESTIMATION ALGORITHM APPLIED TO POWER QUALITY PROBLEMS

... swarm optimization combined with gradient descent to train weights of neural ...different algorithms to train the weights of neural network ...Swarm Optimization (PSO), Genetic ... See full document

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Genetic-Algorithms-Supported Planning of Water-Supply Systems

... The method used in EPANET to solve the flow continuity and headloss equations that characterise the hydraulic state of the pipe network at a given point in time can be termed a hybrid node-loop approach. Todini ... See full document

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