Research ArticleOpen accessIn the abstractAn Optimal Approach for Medical Image AnalysisJ. Umamaheswari, G. RadhamaniProblem statement: Image segmentation is the process that subdivides an image into its constituent parts and extracts the objects. It is one of the most critical tasks in automatic image analysis because the subdivided results will affect all the subsequent processes of image analysis, such as object representation and description, feature measurement and even the following higher level tasks such … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 6 Jun 2012 · 9,513 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 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Proportional Integral Controller Design for Induction MotorMohanasundaram Kuppusamy, Rajasekar NatarajanProblem statement: This study has expounded the application of evolutionary computation method namely Genetic Algorithm (GA) for estimation of feedback controller parameters for induction motor. GA offers certain advantages such as simple computational steps, derivative free optimization, reduced number of iterations and assured near global optima. The development of the method is well documented and computed and measured results are … …Journal of Computer Science, Vol. 7, Issue 3 · 9 Mar 2011 · 6,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Genetic Algorithm Based on Adaptive Repair Operator for Solving the Knapsack ProblemSunanda Gupta, M. L. GargProblem statement: Knapsack problem is a typical NP complete problem. During last few decades, Knapsack problem has been studied through different approaches, according to the theoretical development of combinatorial optimization. Approach: In this study, modified evolutionary algorithm was presented for 0/1 knapsack problem. Results: A new objective_func_evaluation operator was proposed which employed adaptive repair function named as repair and elitism … …Journal of Computer Science, Vol. 5, Issue 8 · 31 Aug 2009 · 7,713 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystem Evolving using Ant Colony Optimization AlgorithmNada M.A. AL-SalamiProblem statement: The goal of automatic programming system is to create, in an automated way, a computer program that enables a computer to solve a problem. It is difficult to build an automatic programming system: They require carefully designed specification languages and an intimate knowledge base. Determine the relevance of mathematical system theory to the problems of automatic programming and … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractNon-dominated Sorting Genetic Algorithms for Heterogeneous Embedded System DesignA. K. Rath, S. N. DehuriThe design of complex embedded systems involves the simultaneous optimization of several conflicting and competing objectives. Instead of a single global optimal solution, there exist a set of Pareto optimal solutions. In this study we have used a multi-objective evolutionary optimization algorithms called non-dominated sorting genetic algorithm (NSGA), which will suit to the requirements of designing a complex heterogeneous embedded … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,693 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA COMPARATIVE STUDY FOR RHODOPSIN PROTEIN FOLDING PROBLEMIman Ahmed Mahmoud, Amr Ahmed Badr, Mostafa Abdel AzimProteins are very important components in any living cells. A number of diseases such as Retinitis pigmentosa, Stargadt-like macular degeneration and Doyne Honeycomb Retinal Dystrophy (DHRD) diseases are shown to result from misfunctioning of proteins. Protein folding problem is a way to predict the best and optimal 3D molecular structure (tertiary structure) of a protein which is then considered to … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 7,071 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAN EFFICIENT CELL PLACEMENT USING GRAVITATIONAL SEARCH ALGORITHMSRose Al Qasem, Taisir EldosIn modern chip design, cell placement is a stage in which cells representing well-defined functions are assigned physical locations, in a way that optimizes the total area and routing length. Cell placement is an NP-complete problem and the exact solution is generally far from reach for a practically sized instance. Hence, diversified heuristic algorithms are used to solve this problem. … …Journal of Computer Science, Vol. 9, Issue 8 · 25 Jun 2013 · 7,371 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn 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 · 6,762 accessesView PDFCite