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21 results for “Optimisation”
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Research ArticleOpen accessIn the keywordsAN ALGORITHM FOR MINING USABLE RULES USING A HOLISTIC SWARM BASED APPROACHVeenu Mangat, Renu VigEvolutionary algorithms are capable of finding near optimal solutions to problems which are intractable to solve using conventional methods. One such problem is to accurately classify patients using rule mining methodology while controlling the size of output rules. A massive amount of data pertaining to medicine is generated and recorded daily. Uncovering useful knowledge and assisting decision makers in the … …Journal of Computer Science, Vol. 10, Issue 4 · 9 Dec 2013 · 6,667 accessesView PDFCite
Research ArticleOpen accessIn the keywordsReduction of Key Search Space of Vigenere Cipher Using Particle Swarm OptimizationGanapathi Sivagurunathan, T. PurusothamanProblem statement: With the demand for effective network security is increasing, it becomes necessary to find the strength and weaknesses of the existing cryptographic methods. Vigenere cipher, a classical cipher is analyzed for its strength against a cipher only attack. Approach: The cipher texts so selected were of various sizes up to 1 Kb. A biologically inspired algorithm, Particle Swarm … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMobile Computing Changing the Traditional Ways of Organizing the Construction CompanyNataša Šuman, Mirko PšunderThe focus of this paper is to represent some important mobile computing potential which help tackle project collaboration and information dissemination problems. Especially in the construction industry where workers have no steady working places mobile computing is shown as a chance for optimising the traditional ways of organizing Construction Company. Special attention is given to the description of changing the … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 7,025 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeedback 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 abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Resource Allocation and Task Scheduling in a Cloud Computing Environment using Swarm IntelligencePanuganti Hanumantha Rao, Rajakumar Subramanian, Geetha SomanThe new age of network-based computing, known as "cloud computing," is characterized by the distribution and sharing of resources over a network. These resources are available to anyone through the Internet on a pay-per-use basis. Any service that anybody uses can generate massive amounts of data. Therefore, in this scenario, there will be a significant cost associated with transferring data … …Journal of Computer Science, Vol. 20, Issue 12 · 7 Nov 2024 · 4,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Multi-Objective Master Production Scheduling Model of Kalak Refinery System Using Hybrid Evolutionary Imperialist Competitive AlgorithmShereen Saleem Sadiq, Adnan Mohsin Abdulazeez, Habibollah HaronThe improvement of operational planning in the field of oil refinery management is becoming increasingly essential and valid. The influential primary factor, among others, is the ever-changing economic climate. The industry must continually assess the potential impacts of variations in the final product demand, price fluctuations, crude oil compositions and even seek out immediate opportunities within the market. The Master … …Journal of Computer Science, Vol. 16, Issue 2 · 12 Feb 2020 · 7,827 accessesView PDFCite
EditorialOpen accessIn the abstractUse of Design of Experiments and Manuscripts Rejection RateAydin Berenjian, Jason RyanTraditional one-variable-at-a-time method was and still is for some researchers, the general procedure to determine the optimal conditions for a chemical, biochemical or biological mechanism. According to this technique, a large number of experiments should be performed to obtain a high precision in effect assessment and also the interaction among the variables cannot be defined. To overcome the limitations of … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 2 · 8 Jun 2015 · 7,167 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