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48 articles for “local optimization”

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Research ArticleOpen accessIn the abstractA New Separable Logarithmic Algorithm for Non-Linear OptimizationAbbas Y. Al-Bayati, Hawraz N. JabbarProblem statement: The idea of this study stemmed from the fact that most of the currently used optimization algorithms use a local quadratic representation of the objective function. It also arisen from the fact that the objective function may not be represented adequately by quadratic functions and the global minimizer may be obtained for objective functions. So, in this study, … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,872 accessesView PDFCite
Research ArticleOpen accessIn the abstractReducing the Environmental Impact of Olive Mill WastewaterAwni Khatib, Fathi Aqra, Nader Yaghi et al.Problem Statement: A research was needed to monitor the environmental impact of olive mill wastewater (OMW): production and relative production of olive mill waste. This was achieved by collecting data from 92 local olive mills in order to study the olive production yield, water consumption in olive washing and in oil recovery, wastewater generation relative to olive processed and oil … …American Journal of Environmental Sciences, Vol. 5, Issue 1 · 28 Feb 2009 · 8,043 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmbedding Malaysian House Red Ant Behavior into an Ant Colony SystemZ. A. Othman, H. M. Rais, A. R. HamdanProblem statement: Ant Colony System (ACS) is the most popular algorithm used to find a shortest path solution in Traveling Salesman Problem (TSP). Several ACS versions have been proposed which aim to achieve an optimum solution by adjusting pheromone levels. However, it still has a room on an improvement. This research aims to improve the algorithm by embedding individual Malaysian … …Journal of Computer Science, Vol. 4, Issue 11 · 30 Nov 2008 · 6,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractTraveling Salesman Approach for Solving Petrol Distribution Using Simulated AnnealingZuhaimy Ismail, Wan Rohaizad Wan IbrahimThis research presents an attempt to solve a logistic company's problem of delivering petrol to petrol station in the state of Johor. This delivery system is formulated as a travelling salesman problem (TSP). TSP involves finding an optimal route for visiting stations and returning to point of origin, where the inter-station distance is symmetric and known. This real world application … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 7,194 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Typical Case Study: Solid Waste Management in Petroleum RefineriesJadea S. Alshammari, Fatma K. Gad, Ahmed A.M. Elgibaly, Abdul Rehman KhanThe current environmental concerns have forced developed and developing countries to reduce air, water and land pollution for sustainable growth. Solid refinery waste is cocktail of hydrocarbons, water, heavy metal and fine solids and is substantial in quantity. The principal processes of waste management focus mainly on waste source reduction, reusing, recycling, composting, incineration with or without energy recovery, fuel … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 9,767 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolid Waste Management in Petroleum RefineriesJadea S. Alshammari, Fatma K. Gad, Ahmed A.M. Elgibaly, Abdul Rehman KhanWaste management became focus of attention of many researchers and scientists in the last half century due to its vital importance. Waste management covered waste source reduction in general, by recycling, reusing, composting, incineration with or without energy recovery, fuel production and land filling. A common approach of waste management models were for specific problems with a limited scope (like … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 6,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MATHEMATICAL ANALYSIS OF THE INCLUSION OF INSTITUTIONAL BETTING FUNDS INTO STOCK MARKET: THE CASE OF TECHNICAL AND FUNDAMENTAL PAYOFF MODELS IN HORSERACE BETTINGCraig George Leslie Hopf, Gurudeo Anand TularamHorserace win and place returns have yet to be considered seriously as portfolio inputs in financial trading markets. However there exist technical and fundamental stochastic models of parametric and nonparametric distribution that appear to optimize expected returns from win and place investing in the horserace wagering market. In this study, a complex number optimization technique is introduced and applied to … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 23 Aug 2014 · 6,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractA JUMP-DIFFUSION WITH STOCHASTIC VOLATILITY AND INTEREST RATEPairote Sattayatham, Paiboon PeeraparpIn this study, we present the application of Time Changed Levy method to model a jump-diffusion process with stochastic volatility and stochastic interest rate. We apply the Lewis Fourier transform method as well as the risk neutral expectation pricing method to derive a formula for a European option pricing. These combining methods give quite a short route to derive the … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 27 Mar 2013 · 6,888 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