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300 articles for “Evolution”
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Research ArticleOpen accessIn the abstractAN ALGORITHM FOR MINING USABLE RULES USING A HOLISTIC SWARM BASED APPROACHVeenu Mangat, Renu VigEvolutionary algorithms are capable of finding near optimal solutions to problems which are intractable to solve using conventional methods. One such problem is to accurately classify patients using rule mining methodology while controlling the size of output rules. A massive amount of data pertaining to medicine is generated and recorded daily. Uncovering useful knowledge and assisting decision makers in the … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 6,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARATIVE ANALYSIS OF OPTIMIZATION TECHNIQUES FOR ARTIFICIAL NEURAL NETWORK IN BIO MEDICAL APPLICATIONSV. Saishanmuga Raja, S. P. RajagopalanIn this study we compare the performance of three evolutionary algorithms such as Genetic Algorithm (GA) Particle Swarm Optimization (PSO) and Ant-Colony Optimization (ACO) which are used to optimize the Artificial Neural Network (ANN). Optimization of Neural Networks improves speed of recall and may also improve the efficiency of training. Here we have used the Ant colony optimization, Particle Swarm … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 7,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN 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 accessIn the abstractSmart Strategy: Intelligence, Gaming and AgilitySimon HustonGenerals, entrepreneurs and planners aim to dislocate enemies, outsmart competitors or build iconic cities. All advocate ‘smart strategy’ but what are its constituents? I seek some cross-disciplinary clarification. A selection of military, business and planning literature is investigated, looking for common themes and a smart strategy framework. Strategic complexity and the limits to generalisation in turbulent times are noted. In … …American Journal of Economics and Business Administration, Vol. 4, Issue 3 · 11 Sep 2012 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractScheduling of Automated Guided Vehicle and Flexible Jobshop using Jumping Genes Genetic AlgorithmP. Paul Pandian, S. Saravana Sankar, S. G. Ponnambalam, M. Victor RajProblem statement: Now a day’s many researchers try Genetic algorithm based optimization to find near optimal solution for flexible job shop. It is a global search. In Our study in the GA, some changes are made to search locally and globally by adding jumping genes operation. A typical flexible job shop model is considered for this research study. For that … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,306 accessesView PDFCite
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 abstractGenetic Diversity in Cichla monoculus (Spix and Agassiz, 1931) Populations: Implications for Management and ConservationCarlos Henrique Dos Anjos Dos Santos, Carolina Fernandes Silva De Sousa, Maria de Nazare Paula-Silva et al.Problem statement: The object of this study was to examine the genetic structure and gene flow in Cichla monoculus populations in seven varzea lakes of the Solimoes River using Randomly Amplified Polymorphic DNA (RAPD) markers, to monitor the region where petroleum is transported in the Amazon basin. Approach: The loss of genetic diversity is one of the main factors leading … …American Journal of Environmental Sciences, Vol. 8, Issue 1 · 30 Jan 2012 · 8,517 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic and Biochemical Aspects of Ectoine Biosynthesis in Moderately Halophilic and Halotolerant Methylotrophic BacteriaValentina N. Khmelenina, Ildar I. Mustakhimov, Alexander S. Reshetnikov et al.Problem statement: The cyclic imino acid ectoine is a widely distributed compatible solute synthesizing by halophilic and halotolerant bacteria to prevent osmotic stress at high external salinity. This water-keeping compound is used in a variety of commercial cosmetics and therapeutic products. Approach: Development of integrated, predictive functional model of the metabolic and regulatory netwoks of ectoine-producing microbes is an active … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 4 · 13 Dec 2010 · 9,560 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Resonance Theory Training Parameters: Pretty Good SetsTaisir Mohammad Eldos, Abdulaziz Suleiman AlmazyadProblem statement: ART1 artificial neural networks offer good tools for test clustering, where no expert is needed if the system is well trained. However, having no output reference for the input patterns makes it hard to judge the quality of the training. Moreover, the performance depends to a great extent on a set of training parameters. Designers follow some recommendations … …Journal of Computer Science, Vol. 6, Issue 12 · 6 Nov 2010 · 7,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Genetic Correlations on Sweet Corn Inbred Lines Using SAS Mixed ModelPedram Kashiani, Ghizan SalehProblem statement: Genetic correlations among traits refer to the extent of relatedness among them due to genetic causes. Estimating genetic correlations for quantitative traits is tedious if done manually. Approach: However, the use of the computer software SAS, applying mixed-model analysis of variance has facilitated many recent studies in evolutionary quantitative genetics. Results: In this two-way statistical model, the variance … …American Journal of Agricultural and Biological Sciences, Vol. 5, Issue 3 · 30 Sep 2010 · 10,891 accessesView PDFCite