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83 results for “particle swarm”
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Research ArticleOpen accessPhrase in the titleUsing the Cuckoo Search for Generating New Particles in Particle Swarm Optimization AlgorithmFariaa Abdalmajeed Hameed, Harith Raad Hasan, Ahmed Abdullah Ahmed, Gulala Ali Hama AminThis study is focused on as Cuckoo Search (CS), one of the current meta-heuristic optimization algorithm. The CS algorithm is useful in generating and searching for the most optimum particles of important meta-heuristic optimization algorithm, known as the Particle Swarm Optimization (PSO), to enhance its performance. This optimization is confirmed through a benchmark online optimization and actual problems. The PSO … …Journal of Computer Science, Vol. 16, Issue 4 · 30 Apr 2020 · 7,441 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSpeech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm OptimizationTayseer M.F. Taha, Summrina Kanwal Wajid, Amir HussainSpeech enhancement is used in almost all modern communication systems. This is due to the quality of speech being degraded by environmental interference factors, such as: Acoustic additive noise, acoustic reverberation or white Gaussian noise. This paper, explores the potential of different benchmark optimization techniques for enhancing the speech signal. This is accomplished by fine tuning filter coefficients using a … …Journal of Computer Science, Vol. 15, Issue 5 · 28 May 2019 · 7,729 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 7,017 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 8,783 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleOPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACHL. Lakshmanan, D. C. TomarOne of the most key problems in wireless sensor networks is finding optimal algorithms for sending packets from source node to destination node. Several algorithms exist in literature, since some are in vital role other may not. Since WSN focus on low power consumption during packet transmission and receiving, finally we adopt by merging swarm particle based algorithm with genetic … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 20 Jan 2014 · 7,381 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 6,656 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCOMPARISON USING PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM FOR TIMETABLE SCHEDULINGDennise AdriantoLecturer timetable scheduling is an important part in the resource allocation planning. Due to the large amount of transactions and various related constraints have to be taken into account in timetable scheduling process, resource manager team shall need a lot of time to the solve the problem. This research is aimed to discuss the application of Particle Swarm Optimization (PSO) … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 7,027 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 6,796 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 6,576 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAdaptive Neuro-Fuzzy Inference System-Particle Swarm Optimization Based Stability Maintenance of Power System NetworksR. Latha, J. KanakarajDuring faulty condition voltage instability is one of the major crisis in power system networks. This study proposes a hybrid learning algorithm to improve the stability performance of a power system with Distributed Generations (DGs). Here the distribution system stability is maintained with reduced power loss using an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Particle Swarm Optimization (PSO) techniques. In … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,906 accessesView PDFCite