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128 articles for “optimization techniques”
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Research ArticleOpen accessIn the abstractMemoryless Modified Symmetric Rank-One Method for Large-Scale Unconstrained OptimizationFarzin Modarres, Malik Abu Hassan, Wah June LeongProblem statement: Memoryless QN methods have been regarded effective techniques for solving large-scale problems that can be considered as one step limited memory QN methods. In this study, we present a scaled memoryless modified Symmetric Rank-One (SR1) algorithm and investigate the numerical performance of the proposed algorithm for solving large-scale unconstrained optimization problems. Approach: The basic idea is to apply … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 7,986 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Power Multicast Problem in Wireless Mesh Networks by Using a Hybrid Particle Swarm OptimizationAllam Maalla, Chen Wei, Haitham J. TahaProblem statement: Most mobile nodes in a wireless ad hoc network are powered by energy limited batteries; the limited battery lifetime imposes a constraint on the network performance. Therefore, power consumption of network operations is critical and subject to optimization. Approach: A novel hybrid PSO was proposed for solving the minimum power multicast problem in wireless ad-hoc networks. The MPM … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 6,814 accessesView PDFCite
Research ArticleOpen accessIn the abstractPower Enhancement of Weightlifters during Snatch through Reducing Torque on Joints by Particle Swarm OptimizationFirooz Salaami, Nima Jamshidi, Mostafa Rostami, Siamak NajarianIn this research, an athlete's body on sagittal plane in tension phase of snatch weightlifting has been modeled in two dimensions for calculating the generated torques in joints. The error back propagation multi-layer perceptrons has been used for modeling the torque through changing the angular velocity, angular acceleration and absolute angle of each segment. Finally, the torque in joints has … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 7,104 accessesView PDFCite
Research ArticleOpen accessIn the abstractGait Optimization of Biped Robot during Double Support Phase by Pure Dynamic SynthesisNima Jamshidi, Mostafa RostamiThis paper deals with dynamic optimization of biped locomotion. The main focus of this research is motion optimization of double support phase. The optimization problem is dealt by using Pontryagins Maximum Principal. For motion optimization of double support phase, the closed kinematic chain has been considered to be opened at appropriate joint and the components of ground reaction forces has … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,130 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 · 9,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractClosed Die Forging Geometrical Parameters Optimization for Al-MMCM. Jolgaf, S.B. Sulaiman, M.K.A Ariffin, A.A. FaiezaDemand for lighter and stiffer products has been increasing in the last few years especially in automobile manufacturing. The closed die forging process of Metal Matrix Material (MMC) is presented as possible solution, since it produces parts with good mechanical properties and lighter weight. A computational modeling of closed die forging process using finite element method and optimization techniques makes … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 1 · 31 Mar 2008 · 8,482 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Reservoir Operation Using Combined Genetic Algorithm and Wavelet Transform MethodL. Ebrahimi, G.A. Barani, H. EbrahimiDams construction are high cost projects, and therefore, optimal using of reservoir storages behind dams is an important task in water resources management. In last decades, various optimization techniques have been used for reservoir operation. Among the new methods, Genetic Algorithm (GA) and wavelet transform (WT) have been widely used in recent years. In this study, GA as well as … …American Journal of Agricultural and Biological Sciences, Vol. 2, Issue 3 · 30 Sep 2007 · 7,514 accessesView PDFCite
Research ArticleOpen accessIn the abstractModern Metaheuristic with Multi-Objective Formulation for the Variable Selection ProblemLauro Cassio Martins de Paula, Anderson da Silva Soares, Telma Woerle Soares et al.The development of efficient algorithms for variable selection becomes important to deal with large and complex datasets. Most works in quantitative chemical analysis have used Genetic Algorithms (GAs) as a reference method to select variables. On the other hand, new advances in metaheuristic techniques provide novel possibilities in this task Moreover, the application of Multi-Objective Optimization (MOO) may significantly contribute … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Arrangement of Energy-Dissipating Members for Seismic Retrofitting of Truss StructuresToru Takeuchi, Yusuke Kinouchi, Ryota Matsui, Toshiyuki OgawaAlthough passive response control design is a popular method, an arrangement methodology for energy-dissipating devices in spatial structures has not been established yet. In this study, optimization techniques are applied to arrangements of energy-dissipating devices in truss tower structures. First, a response prediction rule using the response spectrum and the equivalent linearization method is proposed. Then, a genetic algorithm is … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 14 Jul 2015 · 7,625 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVED PREDICTION FOR MEDIUM OPTIMIZATION USING FACTORIAL SCREENING FOR DOCOSAHEXAENOIC ACID PRODUCTION BY SCHIZOCHYTRIUM SP. SW1Vidyah Manikan, Mohd Sahaid Kalil, Mohd Hafez Mohd Isa, Aidil Abdul HamidDocosa Hexaenoic Acid (DHA) is an essential fatty acid that plays major role in human health. It is typically extracted from fatty fish and this puts pressure on global fish stock. DHA obtained from fish is also prone to contamination. Schizochytrium is a potential alternative source, having the ability of accumulating considerable amounts of DHA. Modification of medium components and … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 15 Jan 2014 · 7,845 accessesView PDFCite