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23 results for “Searching algorithms”
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Research ArticleOpen accessEvery word in the titleGenetic Algorithms Connected Simulation with Smoothing Function for Searching Rule CurvesAnongrit Kangrang, Chavalit ChaleeraktrakoonRule curves are fundamental guidelines for operating a reservoir system. The objective of this paper is to find a suitable objective function and to propose a smoothing function constraint for searching the optimal rule curves by using genetic algorithms connected simulation model. The results show that an average water shortage is the optimal objective function for searching the optimal rule … …American Journal of Applied Sciences, Vol. 4, Issue 2 · 28 Feb 2007 · 7,482 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Fast Hybrid Algorithm Approach for the Exact String Matching Problem Via Berry Ravindran and Alpha Skip Search AlgorithmsAbdulwahab Ali AlmazroiProblem statement: String matching algorithm had been an essential means for searching biological sequence database. With the constant expansion in scientific data such as DNA and Protein; the development of enhanced algorithms have even become more critical as the major concern had always been how to raise the performances of these search algorithms to meet challenges of scientific information. Approach: … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,398 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLocal Beam Search Algorithm for Power Saving in Clustered Ad-Hoc NetworksA. Zabian, F. Al-KalaniAn ad-Hoc network is an infrastructures network consisting of mobile moving nodes. Every node in network performs as a router or a package forwarder. Energy consumption of network interfaces can be significant. There is a relationship between the transmission power and the distance traveled by a packet, increasing the transmission power increases the reachable area at the cost of high … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 6,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe multi-cloud scheduling problem refers to the challenging task of efficiently allocating and managing resources across multiple cloud environments, involving the optimization of task scheduling, resource allocation to minimize makespan, reduce resource costs, and handle the complexity of multi-cloud environments while making optimal scheduling decisions. To overcome this issue. The paper proposes a novel scheduling algorithm, the Advanced Grasshopper Optimization … …Journal of Computer Science, Vol. 21, Issue 10 · 24 Nov 2025 · 2,646 accessesView PDFCite
Research ArticleOpen accessIn the abstractVoronoi Partition to Support Data Search in Uncertain Database with k-Bound FilteringSlamet Sudaryanto Nurhendratno, Sudaryanto, Solichul HudaWith the development of mobile technology, one of its main functions is to have mobile navigation capabilities, this is one of the Location-Based Services (LBS). Mobile navigation is designed as a mobile device to be able to monitor access objects from users. Because of the mobile characteristic, the impact on the points of objects to be found always occur a … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing the Cuckoo Search for Generating New Particles in Particle Swarm Optimization AlgorithmFariaa Abdalmajeed Hameed, Harith Raad Hasan, Ahmed Abdullah Ahmed, Gulala Ali Hama AminThis study is focused on as Cuckoo Search (CS), one of the current meta-heuristic optimization algorithm. The CS algorithm is useful in generating and searching for the most optimum particles of important meta-heuristic optimization algorithm, known as the Particle Swarm Optimization (PSO), to enhance its performance. This optimization is confirmed through a benchmark online optimization and actual problems. The PSO … …Journal of Computer Science, Vol. 16, Issue 4 · 30 Apr 2020 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Great Deluge Algorithm with Bi-Decay Rate for Efficient Task Scheduling in Grid ComputingKaiLun Eng, Abdullah Muhammed, Sazlinah Hasan, Mohamad Afendee MohamedTo realise the utmost idea of global collaborative resource sharing with Grid computing, the fundamental scheduling process is playing a critical role. However, scheduling in Grid computing environment is a well-known NP-complete problem. In this study, we propose a new extension of Great Deluge algorithm with an effective diversification strategy for the Grid scheduling problem. The proposed approach, namely BiGD, … …Journal of Computer Science, Vol. 15, Issue 3 · 7 Mar 2019 · 7,720 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstrained Modified Genetic Algorithm for Optimizing RICE Climate Change Model PolicyHaitham OsmanThe objective of this paper is to use evolutionary algorithm for policy making to help in decision support, the Regional Integrated Climate-Economy (RICE) model for the dynamic climate change is used to optimize the tradeoff policy between abating of carbon dioxide emissions to reduce global climate change and in the other hand the resulting in economic damages. A Constrained Genetic … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 12 Apr 2017 · 7,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractPROBABILISTIC PERIODIC REVIEW INVENTORYMODELUSING LAGRANGE TECHNIQUE AND FUZZY ADAPTIVE PARTICLE SWARM OPTIMIZATIONH. A. Fergany, N. A. El-Hefnawy, O. M. HollahThe integration between inventory model and Artificial Intelligent (AI) represents the rich area of research since last decade. In this study we investigate probabilistic periodic review <Q<qm, N> inventory model with mixture shortage (backorder and lost sales) using Lagrange multiplier technique and Fuzzy Adaptive Particle Swarm Optimization (FAPSO) under restrictions. The objective of these algorithms is to find the optimal … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 11 Aug 2014 · 7,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractINFLUENCE 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