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56 articles for “local search”
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Research ArticleOpen accessEvery word in the titleLocal 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 keywordsAdaptive Acceptance Criterion (AAC) Algorithm for Optimization ProblemsAnmar AbuhamdahOptimization methods commonly are designed for solving the optimization problems. Local search algorithms are optimization method, which are good candidate in exploiting the search space. However, most of them need parameter tuning and incapable of escaping from local optima. This work proposes non-parametric Acceptance Criterion (AC) that not relies on user-defined, which motivate to propose an Adaptive Acceptance Criterion (AAC). … …Journal of Computer Science, Vol. 11, Issue 4 · 23 Jul 2015 · 6,969 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParallel Memetic Algorithm for VLSI Circuit Partitioning Problem using Graphical Processing UnitsP. Subbaraj, P. SivakumarProblem statement: Memetic Algorithm (MA) is a form of population-based hybrid Genetic Algorithm (GA) coupled with an individual learning procedure capable of performing local refinements. Here we used genetic algorithm to explore the search space and simulated annealing as a local search method to exploit the information in the search region for the optimization of VLSI netlist bi-Partitioning problem. However, … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 7,090 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 755 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFINDING A RESIDENCE WITH ALL FACILITIES USING NEAREST NEIGHBOR SEARCHK. Padmapriya, Dr. S. SridharNearest neighbor search is one of the most widely-used techniques and its applications including mobile communication, Geographic information systems, bioinformatics, computer vision and marketing. For example, four friends want to rent an apartment which should be nearer to their working places. Our paper discussed about the problems on finding the most appropriate location among a set of available places. The … …Journal of Computer Science, Vol. 10, Issue 6 · 1 Feb 2014 · 6,803 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNelder-Mead Method with Local Selection Using Neighborhood and Memory for Stochastic OptimizationNoocharin Tippayawannakorn, Juta PichitlamkenWe consider the Nelder-Mead (NM) simplex algorithm for optimization of discrete-event stochastic simulation models. We propose new modifications of NM to reduce computational time and to improve quality of the estimated optimal solutions. Our means include utilizing past information of already seen solutions, expanding search space to their neighborhood and using adaptive sample sizes. We compare performance of these extensions … …Journal of Computer Science, Vol. 9, Issue 4 · 10 May 2013 · 6,121 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Tabu Search Method for Finding Minimal Multi-Homogeneous Bézout NumberHassan M.S. Bawazir, Ali Abd RahmanProblem statement: A homotopy method has proven to be reliable for computing all of the isolated solutions of a multivariate polynomial system. The multi-homogeneous Bézout number of a polynomial system is the number of paths that one has to trace in order to compute all of its isolated solutions. Each partition of the variables corresponds to a multi-homogeneous Bézout number. … …Journal of Mathematics and Statistics, Vol. 6, Issue 2 · 30 Jun 2010 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Cloud-Based Approach for Privacy-Preserving Medical Image Retrieval: Leveraging Local Features and PCA in Two Efficient StepsM Geetha Yadav, SP ChokkalingamThe major challenges of content-based image retrieval are searching, ranking, and retrieving in secure mode. In this article, we propose a two-step security approach for each database image, utilizing encryption mechanisms and cloud technology. In this approach, the watermark-embedded encrypted images, along with the efficient feature vector database and the list of authenticated users, will be stored in the cloud. … …Journal of Computer Science, Vol. 20, Issue 12 · 4 Nov 2024 · 4,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Cloud Load Balancing Using Deep Q-Learning With Inverted S-Shaped Hierarchical Reverse Superb Fairy-Wren OptimizationB. R. Yogeetha, S. P. AnandarajCloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. However, effective load balancing is essential to maintain optimal performance and maximize resource utilization for ensuring even distribution of network traffic across servers, preventing overload, improving response time and enhancing the system reliability. This manuscript proposes the Deep Q-Network with Inverted S-shaped Hierarchical Reverse … …Journal of Computer Science, Vol. 22, Issue 6 · 4 Jun 2026 · 1,497 accessesView PDFCite