Suchergebnisse - Particle swarm optimization algorithm with linear decreasing inertia weight
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On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization
ISSN: 2356-6140, 1537-744X, 1537-744XVeröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2013Veröffentlicht in TheScientificWorld (01.01.2013)“… Linear decreasing inertia weight (LDIW) strategy was introduced to improve on the performance of the original particle swarm optimization (PSO …”
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Cognitive decision engine based on binary particles swarm optimization with non‐linear decreasing inertia weight
ISSN: 1532-0626, 1532-0634Veröffentlicht: Hoboken Wiley Subscription Services, Inc 25.06.2021Veröffentlicht in Concurrency and computation (25.06.2021)“… ‐linear decreasing inertia‐weight (NDI‐BPSO) is presented. Our main goal is to solve the optimization problem of transmitter parameters in different wireless communication modes for cognitive radio systems (CRSs …”
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Particle Swarm Optimization Algorithm with Exponent Decreasing Inertia Weight and Stochastic Mutation
ISBN: 9780769536347, 0769536344ISSN: 2160-7443Veröffentlicht: IEEE 01.05.2009Veröffentlicht in 2009 Second International Conference on Information and Computing Science (01.05.2009)“… It is shown by five representative benchmarks functionpsilas test that the improved algorithm is better than both a particle swarm optimization with linear decreasing inertia weight and a particle …”
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Improved Particle Swarm optimization Base on the Combination of Linear Decreasing and Chaotic Inertia Weights
ISSN: 2472-7555Veröffentlicht: IEEE 25.09.2020Veröffentlicht in Proceedings (International Confernce on Computational Intelligence and Communication Networks) (25.09.2020)“… Particle swarm optimization (PSO) is one of the uncomplicated optimization algorithm, but it also has its disadvantages, such as premature convergence …”
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An image registration approach to study the convergence of particle swarm optimization algorithm with non-linear inertia weight variation
Veröffentlicht: IEEE 01.07.2017Veröffentlicht in 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (01.07.2017)“… Particle swarm optimization (PSO) algorithm is a swarm based metaheuristic method to solve multimodal optimization problems …”
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Study on inertia weight decreasing strategy of particle swarm optimization based on inverse coseca
ISSN: 1742-6588, 1742-6596Veröffentlicht: Bristol IOP Publishing 01.04.2020Veröffentlicht in Journal of physics. Conference series (01.04.2020)“… In, this paper, put forward a new improved particle swarm optimization (pso) algorithm, The nonlinear decreasing inertia weight by the CSC function strategy, at the same time …”
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Nonlinear Inertia Weigh Particle Swarm Optimization Combines Simulated Annealing Algorithm and Application in Function and SVM Optimization
ISBN: 3037852860, 9783037852866ISSN: 1660-9336, 1662-7482, 1662-7482Veröffentlicht: Zurich Trans Tech Publications Ltd 01.01.2012Veröffentlicht in Applied Mechanics and Materials (01.01.2012)“… It improves the iterative way of inertia weight in PSO, using non-linear decreasing algorithm to balance, then PSO combines with simulated annealing (SA …”
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Sensor Placement Optimization Based on an Improved Inertia and Adaptive Particle Swarm Algorithm During an Explosion
ISSN: 2169-3536, 2169-3536Veröffentlicht: Piscataway IEEE 2020Veröffentlicht in IEEE access (2020)“… ) algorithm is proposed to solve this problem. This work considers two new aspects: 1) the adaptive mutation mechanism and the inertia weight into classic particle swarm optimization (PSO) and 2 …”
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Logarithm Decreasing Inertia Weight Particle Swarm Optimization Algorithms for Convolutional Neural Network
ISSN: 2086-9398, 2579-8901Veröffentlicht: Universitas Muhammadiyah Purwokerto 27.05.2022Veröffentlicht in Juita : jurnal informatika (Online) (27.05.2022)“… This paper proposes an optimization of CNN parameters using logarithm decreasing inertia weight (LogDIW …”
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A Particle Swarm Optimization Algorithm with Logarithm Decreasing Inertia Weight and Chaos Mutation
ISBN: 0769535089, 9780769535081Veröffentlicht: IEEE 01.12.2008Veröffentlicht in CIS 2008 : proceedings : 2008 International Conference on Computational Intelligence and Security Workshop : December 13-17, 2008 : Suzhou SIP, China (01.12.2008)“… The experiments demonstrate that the new algorithm is better than the particle swarm optimization with linearly decreasing inertia weight not only in convergence speed …”
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Autonomous Groups Particle Swarm Optimization Algorithm Based On Exponential Decreasing Inertia Weight
ISSN: 0254-0770Veröffentlicht: 05.11.2016Veröffentlicht in Revista técnica de la Facultad de Ingeniería, Universidad del Zulia (05.11.2016)Volltext
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A Linear Decreasing Inertia Weight Particle Swarm Optimization Base on a K-means Clustering Chaotic Sampling for Antenna Design
ISSN: 2377-8512Veröffentlicht: IEEE 17.12.2022Veröffentlicht in Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (17.12.2022)“… This paper presents a K -means clustering chaotic sampling linear decreasing inertia weight particle swarm optimization (KCS-LDIWPSO …”
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Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction
ISSN: 1085-3375, 1687-0409Veröffentlicht: Cairo, Egypt Hindawi Limiteds 01.01.2014Veröffentlicht in Abstract and Applied Analysis (01.01.2014)“… This paper proposed a novel radial basis function (RBF) neural network model optimized by exponential decreasing inertia weight particle swarm optimization (EDIW-PSO …”
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On Some Non-linear Decreasing Inertia Weight Strategies in Particle Swarm Optimization
ISBN: 9787811240559, 7811240556ISSN: 1934-1768Veröffentlicht: IEEE 01.07.2007Veröffentlicht in 2007 Chinese Control Conference (01.07.2007)“… Inspired by analyzing principle of PSO, some non-linear strategies for decreasing inertia weight (DIW …”
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Self-Active Inertia Weight Strategy in Particle Swarm Optimization Algorithm
ISBN: 9781424403325, 1424403324Veröffentlicht: IEEE 2006Veröffentlicht in 2006 6th World Congress on Intelligent Control and Automation (2006)“… Inertia weight is one of the most important parameters of particle swarm optimization (PSO) algorithm …”
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A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm
ISSN: 1932-6203, 1932-6203Veröffentlicht: United States Public Library of Science 25.08.2016Veröffentlicht in PloS one (25.08.2016)“… Particle swarm optimization (PSO) is an evolutionary computing method based on intelligent collective behavior of some animals …”
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Chaotic particle swarm optimization algorithm based on adaptive inertia weight
ISBN: 147993707X, 9781479937073ISSN: 1948-9439Veröffentlicht: IEEE 01.05.2014Veröffentlicht in Chinese Control and Decision Conference (01.05.2014)“… In order to overcome the disadvantages of premature and local convergence in the traditional particle swarm optimization (PSO …”
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A solution to particle swarm optimization algorithm with adaptive inertia weight for unit commitment
ISSN: 1674-3415Veröffentlicht: 01.08.2009Veröffentlicht in Dianli Xitong Baohu yu Kongzhi (01.08.2009)“… An adaptive inertia weight of particle swarm optimization algorithm (AWPSO) is presented to increase the global and local search …”
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Particle Swarm Optimization algorithm based on adaptive inertia weight
ISBN: 9781424468928, 1424468922Veröffentlicht: IEEE 01.07.2010Veröffentlicht in 2010 2nd International Conference on Signal Processing Systems (01.07.2010)“… Inertia weight can significantly impact the effectiveness of the Particle Swarm Optimization (PSO) algorithm …”
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A dynamic inertia weight particle swarm optimization algorithm
ISSN: 0960-0779, 1873-2887Veröffentlicht: Elsevier Ltd 01.08.2008Veröffentlicht in Chaos, solitons and fractals (01.08.2008)“… This paper presents an improved particle swarm optimization algorithm (IPSO) to improve the performance of standard PSO, which uses the dynamic inertia weight that decreases according to iterative generation increasing …”
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