Evolutionary techniques
Comparative Analysis of Various Evolutionary Techniques of Load Balancing: A Review
... using evolutionary techniques of ...The evolutionary techniques gives a dynamic view of Load ...The evolutionary techniques are Ant Colony Optimization technique, Genetic ...
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Hybrid evolutionary techniques for constrained optimisation design
... that evolutionary algorithms produce good results when applied to these problems and they could obtain highly accurate solutions in many cases ...of evolutionary techniques come from the fact that ...
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A Survey on Classification and Clustering of Images Using Evolutionary Techniques
... classification techniques implemented by investigators illustrated the dependency of the classification methods on the types of data sets being selected, types of features extracted and the features selected for ...
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Evolutionary techniques for updating query cost models in a dynamic multidatabase environment
... novel evolutionary techniques, ...posed techniques are quite promising in maintaining accurate cost models efficiently for a slowly changing dynamic MDBS ...proposed techniques can also be ...
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Use of Evolutionary Techniques for Symbolic Execution Based Testing
... Random testing based search algorithms in which random values are generated from domains of inputs and program is executed using these values. If these inputs are able to satisfy the testing criterion then they form a ...
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MIXED EVOLUTIONARY TECHNIQUES TO REDUCE ORDER OF LINEAR INTERVAL SYSTEMS USING GENERLIZED ROUTH ARRAY
... Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. In this paper both PSO and GA ...
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Task Scheduling in Homogeneous Multiprocessor Systems Using Evolutionary Techniques
... Abstract - Minimizing the total processing time by scheduling the tasks of a given network on to the available processors is an important and challenging problem. It is known to be a NP-complete problem and so the ...
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Genetical Swarm Optimizer for Synthesis of Multibeam Linear Antenna Arrays
... developed evolutionary techniques, and it is based on a suitable model of social interaction between independent agents (particles) and it uses social knowledge in order to find the global maximum of a ...
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Determining Maximum Load Carrying Capacity of 2-link Mechanical Manipulator Using GA and PSO Algorithms
... mentioned evolutionary techniques to a 2-link mechanical manipulator, it is possible to use PSO and GA’s strong search abilities to determine the maximum load capacity of a high dimensioned 2-link ...
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Design mining interacting wind turbines
... evolutionary techniques. First, the accuracy of various modelling techniques used to estimate the fitness of the individuals from the initial experiments is ...
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Overview of PSO for optimizing process parameters of machining
... various evolutionary techniques such as PSO, GA, SA and ACO and ABC have been considered by the ...that evolutionary techniques such as GA, SA and ACO for optimization process parameters have ...
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Evolutionary computing techniques to aid the acquisition and analysis of nuclear magnetic resonance data
... List of Tables Chapter 1 Introduction to Nuclear Magnetic Resonance Chapter 2 Evolutionary Techniques and their Use in the Medical Domain and Techniques for Interpreting NMR Spectra Tabl[r] ...
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Demystification of Many-Objective Swarm Optimization Problem using Controlling Dominance Area of Solutions and Shift-Based Density Estimator
... Evolutionary techniques have been effective in solving multi-objective problems of two or three ...the evolutionary algorithms are dependent on as a primary classifier of solutions is ineffective in ...
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Review on Evolutionary Computing Techniques in Power System for Economic Load Dispatch
... different evolutionary techniques to solve the power system ED problem is ...Different techniques namely; regression, multiple regression, exponential smoothing, iterative reweighted least squares, ...
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Comparison of Evolutionary Optimization Techniques for Unconstrained
... set. Evolutionary optimization techniques can be used for getting near optimal solutions of difficult optimization ...of Evolutionary techniques in use, natural evolutionary ...
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Minimization of Real Power loss using Evolutionary Algorithm
... In this paper, the effectiveness of optimal installation of SVC for minimizing the real power losses under single line outages in the network has been investigated. Determination of optimal location of SVC was found ...
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Design, Implementation and Performance Analysis of Tabu Search Based PID Controller
... [2] F. Mahar, S. Saad Azhar Ali and A. Karim, “Design of fixed order robust controller using H ∞ norm and evolutionary techniques: comparison and performance analysis, Journal of Engineering and Applied ...
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Role of Evolutionary Computing Techniques for Knowledge Discovery: A Survey
... term evolutionary computation encompasses a host of methodologies inspired by natural evolution that are used to solve hard problems 10 ...of evolutionary algorithms: genetic algorithms, genetic ...
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Evaluating unsupervised fault detection in self healing systems using stochastic primitives
... UBL’s predictive approach provides unique advan- tages via the potentially immediate mitigation of anomalies. The use of an additional pre-failure state provides a window for mitigation that is absent in the ADF ...
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Application of EP to Multiple Fuel Options Economic Dispatch
... of Evolutionary Programming Techniques to Combined Economic Emission Dispatch With Line Flow Constraints” IEEE ...Accelerated Evolutionary Programming in Self-turning Control for Uncertainty ...
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