65 results for “Optimal-Point”

Set a search alert

Research ArticleOpen accessIn the abstractThe Solar Tracking System by Using Digital Solar Position SensorSingthong PattanasethanonProblem statement: An optimal control on two axes and design for solar tracker which called altitude and azimuth is challenge. Approach: The phototransistor with the shade that blocks the screen was employed as a detector of solar beam radiation. The height of the screen determined the sensitivity operation or period of tracking in this solar tracker. The phototransistor is particularly … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 5 Nov 2010 · 10,179 accessesView PDF Cite

Research ArticleOpen accessIn the abstractInvestigation of the Agricultural Water Management Mechanisms in Zarindasht County, Fars Province, IranAli Asadi, Yaser Mohammadi, Hossein Shabanali FamiProblem statement: Both sequential droughts and lack of water optimal consumption in Zarindasht county, have created scarcity problem that caused agricultural yield’s loss in this county. So according to lack of optimal consumption of agricultural water in this county, the main purpose of this study was to investigate agricultural water management mechanisms in three fields of irrigation sources, water transfer … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 2 · 30 Jun 2009 · 7,962 accessesView PDF Cite

Research ArticleOpen accessIn the abstractReal Time Multigraphs for Communication Networks: An Intuitionistic Fuzzy Mathematical ModelSiddhartha Sankar Biswas, Bashir Alam, Mohammad Najmud DojaMany problems of computer science, communication network, transportation systems, can be modeled into multigraphs (or graphs) and then can be solved. Nowadays, the networks are expanding very fast in huge volumes in terms of their nodes and the connecting links. For a given alive network, in many situations, its complete topology may not be always available to the communication systems … …Journal of Computer Science, Vol. 9, Issue 7 · 17 Jun 2013 · 7,073 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEconomic Ordering Quantity Model with Lead Time Reduction and Backorder Price Discount for Stochastic DemandMing-Cheng LoThis study considered reorder point on the continuous review inventory model under controllable lead time with mixture of backorder price discounts and partial lost sales. We developed a continuous review inventory model where the lead time, the order quantity, backorder discount and safety factor were considered as the decision variables of a mixture of backorders and lost sales inventory model. … …American Journal of Applied Sciences, Vol. 6, Issue 3 · 31 Mar 2009 · 7,023 accessesView PDF Cite

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 · 6,590 accessesView PDF Cite

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 · 6,661 accessesView PDF Cite

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 · 3,113 accessesView PDF Cite

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 · 2,858 accessesView PDF Cite

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 · 7,460 accessesView PDF Cite

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 · 7,975 accessesView PDF Cite