Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

18 results for “evolutionary methods”
Set a search alert
Research ArticleOpen accessIn the keywordsA Survey of Protein Fold Recognition AlgorithmsMohammed Said Abual-Rub, Rosni AbdullahProblem statement: Predicting the tertiary structure of proteins from their linear sequence is really a big challenge in biology. This challenge is related to the fact that the traditional computational methods are not powerful enough to search for the correct structure in the huge conformational space. This inadequate capability of the computational methods, however, is a major obstacle in facing … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,877 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonalized Recommendation System: Web of Things Using Modular Density-Based Community DiscoveryVinod Patidar, Jayashree A. Patil, Sonika Thapak et al.Community discovery is the cornerstone and core of study in customized recommendation, assembling group features and social network analysis on the web of things. Conventional community discovery methods, however, struggle with difficulties including low accuracy, delayed convergence, modularity resolution limits and more when dealing with more complicated social networks. Because of this, differential evolution and module density are included in … …Journal of Computer Science, Vol. 20, Issue 9 · 21 Jun 2024 · 5,628 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 abstractPerformance Optimization of Physics Simulations Through Genetic AlgorithmsOksana Shadura, Federico Carminati, Anatoliy PetrenkoThe GeantV R&D approach is revisiting the standard particle transport simulation approach to be able to benefit from “Single Instruction, Multiple Data” (SIMD) computational architectures or extremely parallel systems like coprocessors and GPUs. The goal of this work is to develop a mechanism for optimizing the programs used for High-Energy Physics (HEP) particle transport simulations using a “black-box” optimization approach. … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 8,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Constraint-Handling Technique for Genetic Algorithms using a Violation FactorAdam Chehouri, Rafic Younes, Jean Perron, Adrian IlincaOver the years, several meta-heuristic algorithms were proposed and are now emerging as common methods for constrained optimization problems. Among them, genetic algorithms (GA’s) shine as popular evolutionary algorithms (EA’s) in engineering optimization. Most engineering design problems are difficult to resolve with conventional optimization algorithms because they are highly nonlinear and contain constraints. In order to handle these constraints, the … …Journal of Computer Science, Vol. 12, Issue 7 · 31 Aug 2016 · 8,751 accessesView PDFCite
Research ArticleOpen accessIn the abstractOSCILLATORY 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 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
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 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 abstractExperimental Comparison Between Evolutionary Algorithm and Barycenter Heuristic for the Bipartite Drawing ProblemZoheir EzzianeThis research investigates the use of intelligent techniques for the bipartite drawing problem (BDP). Due to the combinatorial nature of the solution space, the use of traditional search methods lead to exponential time. Hence, the aim of this paper is to speed up the search time when solving the BDP through the use of Evolutionary Algorithms (EAs) and Barycenter Heuristic … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,716 accessesView PDFCite