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104 articles for “Genetic Algorithms (GA)”
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Research ArticleOpen accessIn the keywordsMulti-Objective Optimization of FRP Jackets for Improving the Seismic Response of Reinforced Concrete FramesCorrado Chisari, Chiara BedonIn this study, a multi-objective Genetic Algorithm (GA) optimization procedure is proposed for the seismic retrofitting of Reinforced Concrete (RC) building frames via Fiber-Reinforced Polymer (FRP) jackets. The optimization problem is solved via numerically efficient but accurate Finite-Element (FE) models able to take into account the strengthening and ductility increase contribution for a given FRP jacketing configuration. Based on a … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 27 Sep 2016 · 8,825 accessesView PDFCite
Literature ReviewOpen accessIn the keywordsAdvances in Document Clustering with Evolutionary-Based AlgorithmsSarmad Makki, Razali Yaakob, Norwati Mustapha, Hamidah IbrahimDocument clustering is the process of organizing a particular electronic corpus of documents into subgroups of similar text features. Formerly, a number of conventional algorithms had been applied to perform document clustering. There are current endeavors to enhance clustering performance by employing evolutionary algorithms. Thus, such endeavors became an emerging topic gaining more attention in recent years. The aim of … …American Journal of Applied Sciences, Vol. 12, Issue 10 · 20 Oct 2015 · 7,186 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Threads to Overcome Synchronization Delays in Parallel Multiple Progressive Alignment AlgorithmsEvandro A. Marucci, Geraldo F.D. Zafalon, Julio C. Momente et al.Problem statement: The parallelization of multiple progressive alignment algorithms is a difficult task. All known methods have strong bottlenecks resulting from synchronization delays. This is even more constraining in distributed memory systems, where message passing also delays the interprocess communication. Despite these drawbacks, parallel computing is becoming increasingly necessary to perform multiple sequence alignment. Approach: In this study, it is … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 8 Mar 2012 · 14,192 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Tool for Generation and Minimization of Test Suite by Mutant Gene AlgorithmSelvakumar Subramanian, Ramaraj NatarajanProblem statement: This study proposes a new idea for generation of minimized test suite in the test case generation using the mutant gene algorithm, which not only identifies the best test cases but also reduces the number of test cases generated, selects test cases optimally there improving the performance in testing of software. Test cases are generated by using branch … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFault Tolerant Control Using Proportional-Integral-Derivative Controller Tuned by Genetic AlgorithmS. Kanthalakshmi, V. ManikandanProblem statement: The growing demand for reliability, maintainability and survivability in industrial processes has drawn significant research in fault detection and fault tolerant control domain. A fault is usually defined as an unexpected change in a system, such as component malfunction and variations in operating condition, which tends to degrade the overall system performance. The purpose of fault detection is … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,479 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Improved Genetic Algorithm for the Traveling Salesman Problem with Multi-RelationsSupat PatvichaichodProblem statement: The aim of this research is to investigate the Traveling Salesman Problems with Multi-Relations (TSPMR) in which each of the vertices has several edges and different weights. The study concerns the weights fluctuated by time in which the problem has more complexity than general TSP problem. However, this type of problem closes to the real-world situation in engineering … …Journal of Computer Science, Vol. 7, Issue 1 · 14 Jan 2011 · 6,924 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis of Resistance to Human Immunodeficiency Virus Protease Inhibitors Using Molecular Mechanics and Machine Learning StrategiesA. Harishchander, D. Alex Anand, Sanjib SenapatiProblem statement: Drug resistance is the most important factor, which influences the failure of current HIV therapies. So, the ability to predict the drug resistance of HIV-1 protease mutants will be useful in developing more effective and longer lasting treatment regimens. Approach: Drug resistance of HIV-1 protease is predicted with two current protease inhibitors (Indinavir and Saquinavir). The problem was … …Current Research in Medicine, Vol. 1, Issue 2 · 31 Oct 2010 · 7,204 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStochastic Inflow Simulation for Searching Rule CurvesAnongrit Kangrang, Anujit Phumphan, Witsanukorn ChaiyapoomRule curves are basic monthly guidelines for long term reservoir operation. Generally, the optimal rule curves are searched by reservoir simulation model and optimization techniques. A traditional reservoir simulation does not consider the risk of reservoir operation caused by natural uncertainty from inflow. A stochastic simulation model embedded genetic algorithm model is developed for searching the optimal rule curves in … …American Journal of Applied Sciences, Vol. 5, Issue 3 · 31 Mar 2008 · 7,303 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExploring Strategies for Parallel Computing of RS Data Assimilation with SWAP-GAShamim Akhter, Kiyoshi Honda, Yann Chemin, Putchong UthayopasAn agro-hydrological simulation model is useful for agriculture monitoring. One issue in running such model is parameter identification, especially when the target area is large such as provincial or country level. Remote Sensing (RS) provides us with useful information over large area. RS cannot observe input parameters of agro-hydrological models directly. However, a method to estimate input parameters of such … …Journal of Computer Science, Vol. 3, Issue 1 · 31 Jan 2007 · 7,209 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSome Statistical Solutions and Methods in Evaluation of Efficiency in Sport and Effectiveness in the Phenomenon of Sportsmen' TrainingGheorghe Săvoiu, Ion Iorga, Marian Creţu, Ion MihăilăProblem statement: A general method for evaluation of efficiency in sport and effectiveness in the phenomenon of sportsmen’s training was proposed. Approach: The method of four “E” was a frame method focused on communication and evaluation, where efficiency acquired an essential importance and its variation related to the initial programme, with its time or space details, respectively related to the … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 7,878 accessesView PDFCite