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114 results for “Heuristic”

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Research ArticleOpen accessIn the abstractAN EFFICIENT CELL PLACEMENT USING GRAVITATIONAL SEARCH ALGORITHMSRose Al Qasem, Taisir EldosIn modern chip design, cell placement is a stage in which cells representing well-defined functions are assigned physical locations, in a way that optimizes the total area and routing length. Cell placement is an NP-complete problem and the exact solution is generally far from reach for a practically sized instance. Hence, diversified heuristic algorithms are used to solve this problem. … …Journal of Computer Science, Vol. 9, Issue 8 · 25 Jun 2013 · 7,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Scheduling for Cloud Reliability using Transportation ProblemS. K. Senthil Kumar, P. BalasubramanieProblem statement: Cloud is purely a dynamic environment and the existing task scheduling algorithms are mostly static and considered various parameters like time, cost, make span, speed, scalability, throughput, resource utilization, scheduling success rate and so on. Available scheduling algorithms are mostly heuristic in nature and more complex, time consuming and does not consider reliability and availability of the cloud … …Journal of Computer Science, Vol. 8, Issue 10 · 23 Aug 2012 · 8,332 accessesView PDFCite
Research ArticleOpen accessIn the abstractCurve Fitting Using Conic by Evolutionary ComputingZainor Ridzuan Yahya, Abd Rahni Mt Piah, Ahmad Abd MajidProblem statement: A direct method, such as least squares technique is usually used to solve problems involving matching a curve or a surface to a set of data points. The solution obtained by this direct method is precise or very good in approximation, but computationally not very efficient. Thus, in this study, we propose an indirect approach using Particle Swarm … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 7 Feb 2012 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Resource and Cost Management Scheme for Computational GridsV. K. Manavalasundaram, K. DuraiswamyProblem statement: Autonomous decision making and resource scheduling are the main objectives of market-life computational grid. Resource providers and consumers make the scheduling decisions with cost and incentive factors. The two objectives are to maximize the success rate of job execution and to minimize fairness deviation among resources. The challenge is to develop a grid-scheduling scheme that enables individual participants … …Journal of Computer Science, Vol. 8, Issue 4 · 7 Feb 2012 · 6,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Cryptosystem Using Multiple Cryptographic AssumptionsE. S. Ismail, M. S. HijaziProblem statement: A cryptosystem is a way for a sender and a receiver to communicate digitally by which the sender can send receiver any confidential or private message by first encrypting it using the receiver’s public key. Upon receiving the encrypted message, the receiver can confirm the originality of the message’s contents using his own secret key. Up to now, … …Journal of Computer Science, Vol. 7, Issue 12 · 15 Oct 2011 · 7,061 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeled K-Cluster Quality Mining of Hidden Knowledge for Decision SupportS. Parkash Kumar, K. S. RamaswamiProblem statement: The work presented Fuzzy Modeled K-means Cluster Quality Mining of hidden knowledge for Decision Support. Based on the number of clusters, number of objects in each cluster and its cohesiveness, precision and recall values, the cluster quality metrics is measured. The fuzzy k-means is adapted approach by using heuristic method which iterates the cluster to form an efficient … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach for Sub-Channels Assignment in Downlink Fourth Generation Mobile SystemsFakhreddine Khelifa, Abdelaziz SametProblem statement: We proposed a new heuristic method for subchannels allocation problem in the context. Approach: In this system, OFDM transmission method has been used, in order to reduce the effect of multipath fading, OFDMA to achieve multiple access schemes and flexibility in resource allocation. Results: An adaptive method for subchannels allocation is necessary in order to exploit the multiuser … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 6,588 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Unified K-Means Clustering Technique for Microarray Gene Expression DataP. Valarmathie, K. Dinakaran, T. RavichandranProblem statement: Using microarray techniques one could monitor the expressions levels of thousands of genes simultaneously. One challenge was how to derive meaningful insights into expressed data. This might be carried out by clustering techniques such as hierarchical and k-means, but most of the clustering techniques were largely heuristic in nature and are associated with some unresolved issues like how … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Multi-Level Capacitated Lot-Size Scheduling ProblemZuhaimy Ismail, Diyana Abd Mahad, Tan Siew ChingProblem statement: Lot-size is the clustering of items for transportation or manufacturing processes occurring at the same time. The issue in lot-size problem is to design production processes so that the feasible production quantities are equal to customer demand quantities and the timing of production is such that inventory positions are almost zero. Approach: In this study, we explore the … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 7,319 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Financial Market Annual Performance Measures: Further Evidence+Edward J. Lusk, Michael Halperin, Atanas Tetikov, Niya StefanovaProblem statement: Forecasting is simple; producing accurate forecasts is the essential task. Experience suggests that financial managers often assume that because models used in forecasting are appropriate that they are effective. This study addresses this assumption. Effective is taken to mean forecasts where the Absolute Percentage Error (APE) is equal to or less than 10%. It has been reported that … …American Journal of Economics and Business Administration, Vol. 2, Issue 3 · 30 Sep 2010 · 7,526 accessesView PDFCite