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105 results for “genetic algorithms”
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Research ArticleOpen accessIn the abstractPerformance Analysis of Multi Clustered Parallel Genetic Algorithm with Gray ValueP. Vishnu Raja, V. Murali BhaskaranProblem statement: Encoding is one of the major factors in genetic algorithms, for a complex problem the optimality for the problem is determined. The encoding mechanism is the initial step which forms the chromosome to form the best fit individuals in the entire population. The proposed method tries to encode the initial population by the binary encoding and by gray … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 28 Jun 2012 · 7,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Modeling for Traffic Noise in Urban AreaFrancis Cirianni, Giovanni LeonardiTraffic noise can be classified among the worst factors in terms of damage to people’s health and well-being. The trend of noise pollution modeling variable from the smart result of classic regressive models in the performance of many assessment models based on mathematical expressions, genetic algorithms and neural networks (of GRNN type, General Regression Neural Network). A methodological approach for … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 18 Jun 2012 · 7,444 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallel Memetic Algorithm for VLSI Circuit Partitioning Problem using Graphical Processing UnitsP. Subbaraj, P. SivakumarProblem statement: Memetic Algorithm (MA) is a form of population-based hybrid Genetic Algorithm (GA) coupled with an individual learning procedure capable of performing local refinements. Here we used genetic algorithm to explore the search space and simulated annealing as a local search method to exploit the information in the search region for the optimization of VLSI netlist bi-Partitioning problem. However, … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 7,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolutionary Algorithmic Approach based Optimal Web Service Selection for Composition with Quality of ServiceD. Palanikkumar, G. KousalyaProblem statement: Web service is a technology that provides flexibility and interconnection between different distributed applications over the Internet and intranets. When a client request cannot be satisfied by any individual service, existing web services can be combined into a composite web service. When there are a large number of Web services available, it is not easy to find an … …Journal of Computer Science, Vol. 8, Issue 4 · 10 Feb 2012 · 6,766 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Image Classification Using Genetic Optimized Elman NetworkT. Baranidharan, D. K. GhoshProblem statement: Advancements in the internet and digital images have resulted in a huge database of images. Most of the current search engines found in the web depends only on images that can be retrieved using metadata, which generates a lot of unwanted results in the results got. Content-Based Image Retrieval (CBIR) system is the utilization of computer vision techniques … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 24 Nov 2011 · 7,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Algorithm for Scheduling n Jobs on a Single Machine with a Stochastic Controllable Processing, Tooling Cost and Earliness-Tardiness PenaltiesMohamed Ali Abdel-Fattah MansourProblem statement: In this research, we addressed the problem of minimizing the earliness-tardiness penalties and manufacturing costs of a single machine with a stochastic controllable processing and tooling cost. Approach: We developed a mathematical non-linear integer programming model and its linearised version to find the optimal solution. We introduced a new genome representation in single machine scheduling literature that evolved … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 3 · 18 Aug 2011 · 7,591 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeta Heuristic Algorithms for Vehicle Routing Problem with Stochastic DemandsGeetha Shanmugam, Poonthalir Ganesan, Dr. P.T. VanathiProblem statement: The shipment of goods from manufacturer to the consumer is a focal point of distribution logistics. In reality, the demand of consumers is not known a priori. This kind of distribution is dealt by Stochastic Vehicle Routing Problem (SVRP) which is a NP-hard problem. In this proposed work, VRP with stochastic demand is considered. A probability distribution is … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 8,026 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Algorithm Based Multi Objective Service Restoration in Distribution SystemsSathish Kumar Kannaiah, Jayabarathi Thangavel, D. P. KothariProblem statement: A Genetic Algorithm (GA) used here to find exact or approximate solutions to optimization and search problems. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection and crossover. Approach: GA is a method for search and optimization based on the process of natural selection and evolution. … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 7,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Technique for Extraction Foetal Electrocardiogram using Adaptive Filtering and Simple Genetic AlgorithmMahmoud Ahmed Suliman Ali, XiaoPing ZengProblem statement: Foetal electrocardiogram (FECG) was the best method used to diagnose Foetal heart problem. Knowledge of the foetal heart signal prevents Foetal problems in the earlier stage. Recently, there has been a growing interest in noninvasive method rather than the old invasive method which was more risky for the mother's health. The most significant problem in noninvasive method is … …Current Research in Biostatistics, Vol. 1, Issue 2 · 31 Dec 2010 · 10,411 accessesView PDFCite