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Research ArticleOpen accessEvery word in the titleImplementation Techniques of Search Engine Optimization in Marketing Strategies Through the InternetRony Baskoro Lukito, Cahya Lukito, Deddy ArifinThe number of internet users around the world continue to grow and will continue to grow along with advances in communications technology. Communication technology which is now headed to the fourth generation (better known as 4G), allowing access into the rapidly growing information technology. Marketing media products and services not just print and electronic media. Nowadays marketing is also using … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,903 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePROBABILISTIC 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 · 7,025 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA SURVEY: PARTICLE SWARM OPTIMIZATION BASED ALGORITHMS TO SOLVE PREMATURE CONVERGENCE PROBLEMBahareh Nakisa, Mohd Zakree Ahmad Nazri, Mohammad Naim Rastgoo, Salwani AbdullahParticle Swarm Optimization (PSO) is a biologically inspired computational search and optimization method based on the social behaviors of birds flocking or fish schooling. Although PSO is represented in solving many well-known numerical test problems, but it suffers from the premature convergence. A number of basic variations have been developed due to solve the premature convergence problem and improve quality … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 8,788 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOPTIMIZATION OF DESIGN AND PERFORMANCE CHARACTERISTICS OF HEATING SYSTEM OF PRESS EQUIPMENTAndrey Vladimirovich Ostroukh, Alexey Olegovic Glebov, Sergey Vladimirovich Karpov et al.The manufacturing of rubber products has a steady growth. Thereby modernization of existing and design of new advanced equipment for this industry is a topical problem. The article is devoted to optimization of design and performance characteristics of press equipment’s heating system, realizing the process of hot vulcanization rubber in molds. The optimization methodic is based on minimization of temperature … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 4 Apr 2014 · 7,313 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLOW COMPLEXITY CONSTRAINTS FOR ENERGY AND PERFORMANCE MANAGEMENT OF HETEROGENEOUS MULTICORE PROCESSORS USING DYNAMIC OPTIMIZATIONA. S. Radhamani, E. BaburajOptimization in multicore processor environment is significant in real world dynamic applications, as it is crucial to find and track the change effectively over time, which requires an optimization algorithm. In massively parallel processing multicore processor architectures, like other population based metaheuristics Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) scheduling can be effectively implemented. In this study we discuss … …Journal of Computer Science, Vol. 10, Issue 8 · 3 Apr 2014 · 6,647 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA SURVEY: PARTICLE SWARM OPTIMIZATION-BASED ALGORITHMS FOR GRID COMPUTING SCHEDULING SYSTEMSFaruku Umar Ambursa, Rohaya LatipBio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a relatively more promissing performance in dealing … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,662 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA COMPARATIVE ANALYSIS OF OPTIMIZATION TECHNIQUES FOR ARTIFICIAL NEURAL NETWORK IN BIO MEDICAL APPLICATIONSV. Saishanmuga Raja, S. P. RajagopalanIn this study we compare the performance of three evolutionary algorithms such as Genetic Algorithm (GA) Particle Swarm Optimization (PSO) and Ant-Colony Optimization (ACO) which are used to optimize the Artificial Neural Network (ANN). Optimization of Neural Networks improves speed of recall and may also improve the efficiency of training. Here we have used the Ant colony optimization, Particle Swarm … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 7,291 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOPTIMIZATION MODEL OF SELECTIVE CUTTING FOR TIMBER HARVEST PLANNING BASED ON A SIMULATED ANNEALING APPROACHMunaisyah Abdullah, Salwani Abdullah, Abdul Razak Hamdan, Roslan IsmailAn optimization model for Timber Harvest Planning (THP) is used to form harvest areas with the objective of maximizing the tree harvest volume subject to harvest regulations. Most optimization models for THP currently in use are based on clear cutting and restricted to adjacency constraints to prevent the creation of large clear-cut openings in the forest. However, an optimization model … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 7,318 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHMAmr Badr, Mostafa Abd El Azeim, Dina EL-GammalParticle Swarm Optimization used to solve a continuous problem and has been shown to perform well however, binary version still has some problems. In order to solve these problems a new technique called New Binary Particle Swarm Optimization using Immunity-Clonal Algorithm (NPSOCLA) is proposed This Algorithm proposes a new updating strategy to update the position vector in Binary Particle Swarm … …Journal of Computer Science, Vol. 9, Issue 11 · 30 Sep 2013 · 6,801 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEFFECTIVENESS OF SECOND BEST PARTICLE INFORMATION FOR PARTICLE SWARM OPTIMIZATIONEisuke Kita, Young-Bin ShinParticle Swarm Optimization (PSO) represents the potential solutions of the optimization problem as the particles and then, the particles move in order to find the better solution. The particle positions are updated from the personal best and the global best particle positions which have been ever found. This research focuses on the use of the second personal best and the … …Journal of Computer Science, Vol. 9, Issue 11 · 23 Sep 2013 · 6,579 accessesView PDFCite