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65 articles for “Optimal-Point”
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Research ArticleOpen accessIn the abstractA Mobile Robot Path Planning Using Genetic Algorithm in Static EnvironmentIsmail AL-Taharwa, Alaa Sheta, Mohammed Al-WeshahIn this study we present our initial idea for using genetic algorithms to help a controllable mobile robot to find an optimal path between a starting and ending point in a grid environment. The mobile robot has to find the optimal path which reduces the number of steps to be taken between the starting point and the target ending point. … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 20,305 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeedback of the Input Voltage in FDTC Control Using a Three-Level NPC-VSIR. Zaimeddine, E.M. BerkoukA new control structure for sensorless induction machine dedicated to electrical drives using a three-level voltage source inverter VSI-NPC is completely analysed. The amplitude and the rotating velocity of the flux vector could be controlled freely. Both fast torque and optimal switching logic could be achieved; the selection is based on the value of the stator flux and the torque. … …American Journal of Applied Sciences, Vol. 4, Issue 7 · 31 Jul 2007 · 6,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Modeling of Economical Market Forces for an Intelligent Delivery of Dynamical Optimal Impact Solution (DOI)Mahmoud Iskandarani, Ghaleb El-RefaeAn intelligent model for the purpose of evaluating and affecting delivery of services as a function of initial capital investment is developed and discussed. The algorithm associated with such a model, maps the principles of sustainability of business success as dependent not only on the content of the business but also on the impact that it has on the beneficiaries … …American Journal of Applied Sciences, Vol. 4, Issue 2 · 28 Feb 2007 · 7,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybridization of Neural Learning Algorithms Using Evolutionary and Discrete Gradient ApproachesRanadhir Ghosh, John Yearwood, Moumita Ghosh, Adil BagirovIn this study we investigated a hybrid model based on the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. Also we discuss different variants for hybrid models using the Discrete Gradient method and an evolutionary strategy for determining the weights in a feed forward artificial neural network. The Discrete Gradient … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,587 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeek of an Optimal Way by Q-LearningY. Dahmani, A. BenyettouIn this article, we presented the Q-Learning training method which is a derivative of the reinforcement learning called sometimes training by penalty-reward. We illustrate this by an application to the mobility of a mobile in an enclosure closed on the basis of a starting point towards an unspecified arrival point. The objective is to find an optimal way optimal without … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,929 accessesView PDFCite
Research ArticleOpen accessIn the abstractNatural Reforestation Optimization (NRO): A Novel Optimization Algorithm Inspired by the Reforestation ProcessFernando L. Rodríguez-Gallegos, César A. Rodríguez-Gallegos, Andrés A. Rodríguez-Gallegos, Carlos D. Rodríguez-GallegosThis paper proposes a new meta-heuristic-based optimization algorithm for single-objective problems. The algorithm is called Natural Reforestation Optimization (NRO) and is inspired by the process in which natural reforestation takes place. The features of this algorithm (such as the distribution of the initial population, the exploration and exploitation mechanisms, the interactions between the particles, the stopping criteria, among others) are … …Journal of Computer Science, Vol. 16, Issue 8 · 2 Sep 2020 · 6,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest and Extreme Gradient Boosting with Bayesian Hyperparameter Optimization for Landslide Susceptibility Mapping in Penang Island, MalaysiaDorothy Anak Martin Atok, Soo See Chai, Kok Luong Goh et al.Landslide susceptibility models often face challenges of overfitting and overestimation. This research focuses on improving the predictive capabilities of the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms by applying Bayesian Hyperparameter Optimization (BayesOpt). Penang Island, a region in Malaysia prone to frequent landslides, was chosen as the study area. Ten Landslide Conditioning Factors (LCFs), including elevation, slope angle, … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 3,103 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Earthquake Evacuation Routes Using Dijkstra's Algorithm and WinQSBSandra Huarcaya Gonzales, Hugo Vega-Huerta, Gisella Luisa Elena Maquen-Niño et al.This research analyzes and generates optimal evacuation routes in the Barranco district during earthquake scenarios using the Dijkstra algorithm implemented through WinQSB. A preliminary review was conducted to establish key concepts related to earthquake dynamics, evacuation route planning, and the application of Dijkstra’s algorithm. Given its high seismic exposure and the prevalence of aging infrastructure, Barranco is considered highly vulnerable … …Journal of Computer Science, Vol. 21, Issue 10 · 9 Dec 2025 · 2,851 accessesView PDFCite
Review ArticleOpen accessIn the abstractSome Special AircraftRelly Victoria Petrescu, Raffaella Aversa, Bilal Akash et al.In this study, the authors want to present a few more distinct aircraft from a constructive and functional point of view. Their role has often been determined by the need to achieve or fulfill certain more or less strategic objectives. Such ships will also be built in the future more and more often in order to be able to respond … …Journal of Aircraft and Spacecraft Technology, Vol. 1, Issue 3 · 19 Aug 2017 · 7,458 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,967 accessesView PDFCite