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20 articles for “Evolutionary Computation”
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Research ArticleOpen accessPhrase in the titleOSCILLATORY SYNTHETIC BIOLOGICAL SYSTEM CONSTRUCTION USING INTERACTIVE EVOLUTIONARY COMPUTATIONSQuang Huy Dinh, Nasimul Noman, Hitoshi IbaIn this study, we propose an Interactive Evolutionary Computation system to design gene networks for synthetic biology, of which the objective is to construct new organisms through the artificial synthesis of gene networks. Wet laboratories typically design gene networks through trial and error methods, which makes the construction of complex networks difficult. As a solution, automation can significantly improve the … …Journal of Computer Science, Vol. 10, Issue 12 · 14 Jan 2015 · 8,476 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic DiseasesKamal ElDahshan, Hesham Hefny, Iman Ahmed ElSayedRespiratory genetic diseases are considered a major participant in the reasons of death worldwide nowadays and were one of the major participants in helping in increasing the numbers of COVID-19 patients. It is considered one of the most alarming diseases affecting in particular the respiratory system. The journey of early detection of respiratory genetic diseases is considered to be very … …Journal of Computer Science, Vol. 20, Issue 6 · 30 Mar 2024 · 5,272 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGENETIC-BASED NUTRITION RECOMMENDATION MODELS. A.A. Fayoumi, A. A. Hegazy, M. A. BelalEvolutionary computing is the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. These techniques are being widely applied to a variety of problems in many vital fields. Also, Evolutionary Algorithms (EA) which applied the principles of Evolutionary computations, such as genetic algorithm, particle swarm, ant colony and … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBioinformatics-Assisted Microbiological Research: Tasks, Developments and Upcoming ChallengesDhananjaya P. Singh, Ratna Prabha, Anil Rai, Dilip K. AroraProblem statement: Bioinformatics in the present day microbiological research is an inevitable subject area that encompasses biological resources and high end computational skills to unravel the coded and encrypted information within the life. We have produced a brief account of the developments and tasks in the subject and upcoming challenges in the subject. The area has seen tremendous developmental pattern … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 23 Jan 2012 · 14,793 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGenetic 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 keywordsAutomating Commercial Video Game Development using Computational IntelligenceTse Guan Tan, Jason Teo, Patricia AnthonyProblem statement: The retail sales of computer and video games have grown enormously during the last few years, not just in United States (US), but also all over the world. This is the reason a lot of game developers and academic researchers have focused on game related technologies, such as graphics, audio, physics and Artificial Intelligence (AI) with the goal … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,618 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvolutionary Algorithm DefinitionNada M.A. AL-SalamiProblem statement: Most resent evolutionary algorithms work under weak theoretical basis and thus, they are computationally expensive. Approach: This study discussed the use of new evolutionary algorithm for automatic programming, based on theoretical definitions of program behaviors. Evolutionary process adapted fixed and self-organized input-output specification of the problem, to evolve good finite state machine that efficiently satisfies these specifications. Results: … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 10 Dec 2009 · 7,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Background Knowledge and Random Sampling in Genetic Programming: A Case Study in Learning Boolean Parity FunctionsLappoon R. TangThe Boolean even-N-parity function returns T (i.e., true) if an even number of its Boolean arguments for N arguments are T and otherwise returns NIL (i.e., false). Learning Boolean even-N-parity functions has been recognized as a difficult problem for evolutionary computation (such as genetic programming) especially when N is large (e.g., 20+). A number of approaches have been proposed for … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 5,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractMetabolic Potential Versus Genome SizeAtanas Todorov Atanasov, Dimitar Todorov ValevAlberch, P. (1983). Development and Evolution: Embryos, Genes, and Evolution. The Developmental-Genetic Basis of Evolutionary Change. Science, 221(4607), 257–258. https://doi.org/10.1126/science.221.4607.257 Andrews, C. B., Mackenzie, S. A., & Gregory, T. R. (2009). Genome size and wing parameters in passerine birds. Proceedings of the Royal Society B, 276(1654), 55–61. https://doi.org/10.1098/rspb.2008.1012 Atanasov, A. T. (2005). The linear alometric relationship between total metabolic energy … …Physics International, Vol. 13, Issue 1 · 15 Jun 2022 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeighted Centroid Modified Simplex and Linear Constrained Response Surface Optimization Methods for the Xbar-R Chart Variable DeterminationPongchanun LuangpaiboonProblem statement: Although economic Xbar-R chart designs do guarantee the minimal operating cost, they typically have poor levels of statistical performance measures. The obvious limitation of the economic design is that the Type I error rate seems to be very high for many situations and will cause a large number of false alarms. This situation leads to an investigation of … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,115 accessesView PDFCite