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43 results for “evolutionary algorithm”
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Research ArticleOpen accessIn the keywordsMaximally Distant Codes Allocation Using Chemical Reaction Optimization and Ant Colony Optimization AlgorithmsTaisir Eldos, Waleed Nazih, Aws KananError correcting codes, also known as error controlling codes, are set of codes with redundancy that allows detecting errors. This is quite useful in transmitting data over a noisy channel or when retrieving data from a storage with possible physical defects. The idea is to use a set of code words that are maximally distant from each other, hence reducing … …Journal of Computer Science, Vol. 11, Issue 8 · 5 Nov 2015 · 7,000 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMulti-Objective Evolutionary Optimization of Sandwich Structures: An Evaluation by Elitist Non-dominated Sorting Evolution StrategyIlyani Akmar, A.B, O. Kramer, T. RabczukIn this study, an application of evolutionary multi-objective optimization algorithms on the optimization of sandwich structures is presented. The solution strategy is known as Elitist Non-Dominated Sorting Evolution Strategy (ENSES) wherein Evolution Strategies (ES) as Evolutionary Algorithm (EA) in the elitist Non-dominated Sorting Genetic algorithm (NSGA-II) procedure. Evolutionary algorithm seems a compatible approach to resolve multi-objective optimization problems because it … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 22 Apr 2015 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the keywordsINFLUENCE OF EVOLUTIONARY COMPUTING ON NUTRITION RECOMMENDATION: A SURVEYA. A. Hegazy, M. A. Belal, S. A. AlFayoumiThis study is a survey about how Evolutionary Computing doesn’t play its important role in a vital field such as Nutrition. Evolutionary computing is a subset from the artificial intelligence umbrella that involves continuous optimization and combinational optimization which is based on searching methodologies. It has also a lot of algorithms that have played a main role in supporting the … …Journal of Computer Science, Vol. 10, Issue 10 · 8 May 2014 · 6,490 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 keywordsVHDL DESIGN AND HARDWARE REALIZATION OF HYBRIDARTIFICIAL INTELLIGENCE ARCHITECTURERajeswaran Nagalingam, Tenneti Madhu, Munagala SuryakalavathiEvolutionary Algorithms (EA) use Genetic Algorithm (GA) in many optimization problems to efficiently compute the function value in less time. In this study the weight optimization of the Artificial Neural Net-work (ANN), using the Back Propagation Network (BPN), is tested and presented with GA. The combined architecture of Neuro-Genetic (Hybrid Artificial Intelligence) approach is proposed and simulated results are provided … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 24 Feb 2014 · 6,566 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 keywordsEvolution of Neural Controllers for Robot Navigation in Human EnvironmentsGenci Capi, Hideki TodaProblem statement: In this study, we presented a novel vision-based learning approach for autonomous robot navigation. Approach: In our method, we converted the captured image in a binary one, which after the partition is used as the input of the neural controller. Results: The neural control system, which maps the visual information to motor commands, is evolved online using real … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 6,784 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSimulated Annealing with Deterministic DecisionsTaisir EldosProblem statement: Simulated Annealing (SA) algorithms have been used in solving a wide range of discrete optimization problems for many years, with well know drawbacks like the computational time and difficulties related to the parameters settings. One of the other issues that open the door for research is the acceptance decision that provides for hill climbing; the standard SA algorithms … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,119 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 abstractProsthetic Knee Mechanism Using a Double Locking System as a Safety MeasureEicarl Saynes Vazquez, Esther Lugo GonzálezThe design of a four-link knee prosthesis mechanism with two locking systems activated during the flexion/extension phase is presented. The first is geometric, totally mechanical and activated by the user's weight. The second is variable and is activated automatically when walking on irregular or special surfaces is required. The links' dimensions were selected using the differential evolutionary optimization algorithm to … …Journal of Mechatronics and Robotics, Vol. 8, Issue 1 · 12 Feb 2024 · 5,701 accessesView PDFCite