Suchergebnisse - Particle swarm optimization algorithm with linear decreasing inertia weight

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  1. 1

    On the Performance of Linear Decreasing Inertia Weight Particle Swarm Optimization for Global Optimization von Arasomwan, Akugbe Martins, Adewumi, Aderemi Oluyinka

    ISSN: 2356-6140, 1537-744X, 1537-744X
    Veröffentlicht: Cairo, Egypt Hindawi Publishing Corporation 01.01.2013
    Veröffentlicht 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 von Shi, Chengzhuo, Dou, Zheng, Sangaiah, Arun Kumar, Wang, Jin

    ISSN: 1532-0626, 1532-0634
    Veröffentlicht: Hoboken Wiley Subscription Services, Inc 25.06.2021
    Veröffentlicht in Concurrency and computation (25.06.2021)
    “… ‐linear decreasing inertiaweight (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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  3. 3

    Particle Swarm Optimization Algorithm with Exponent Decreasing Inertia Weight and Stochastic Mutation von Hui-Rong Li, Yue-Lin Gao

    ISBN: 9780769536347, 0769536344
    ISSN: 2160-7443
    Veröffentlicht: IEEE 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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  4. 4

    Improved Particle Swarm optimization Base on the Combination of Linear Decreasing and Chaotic Inertia Weights von Nkwanyana, Thamsanqa Bongani, Wang, Zenghui

    ISSN: 2472-7555
    Veröffentlicht: IEEE 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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  5. 5

    An image registration approach to study the convergence of particle swarm optimization algorithm with non-linear inertia weight variation von Saxena, Sanjeev, Pohit, M.

    Veröffentlicht: IEEE 01.07.2017
    “… Particle swarm optimization (PSO) algorithm is a swarm based metaheuristic method to solve multimodal optimization problems …”
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  6. 6

    Study on inertia weight decreasing strategy of particle swarm optimization based on inverse coseca von Liu, Huiming, Liu, Yong, Zhen, Jiaqi

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.04.2020
    Veröffentlicht 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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  7. 7

    Nonlinear Inertia Weigh Particle Swarm Optimization Combines Simulated Annealing Algorithm and Application in Function and SVM Optimization von Xu, Zhi Xiang, Jiao, Bin

    ISBN: 3037852860, 9783037852866
    ISSN: 1660-9336, 1662-7482, 1662-7482
    Veröffentlicht: Zurich Trans Tech Publications Ltd 01.01.2012
    Veröffentlicht 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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  8. 8

    Sensor Placement Optimization Based on an Improved Inertia and Adaptive Particle Swarm Algorithm During an Explosion von Ding, Yong-Hong, You, Wen-Bin

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2020
    Veröffentlicht 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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  9. 9

    Logarithm Decreasing Inertia Weight Particle Swarm Optimization Algorithms for Convolutional Neural Network von Murinto, Murinto, Rosyda, Miftahurrahma

    ISSN: 2086-9398, 2579-8901
    Veröffentlicht: Universitas Muhammadiyah Purwokerto 27.05.2022
    Veröffentlicht 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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  10. 10

    A Particle Swarm Optimization Algorithm with Logarithm Decreasing Inertia Weight and Chaos Mutation von Gao, Yue-lin, An, Xiao-hui, Liu, Jun-min

    ISBN: 0769535089, 9780769535081
    Veröffentlicht: IEEE 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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    A Linear Decreasing Inertia Weight Particle Swarm Optimization Base on a K-means Clustering Chaotic Sampling for Antenna Design von Qin, Peng-Fei, Li, Wen-Hao, Wang, Dong, Huang, Guan-Long, Fan, Wei, Sim, Chow-Yen-Desmond

    ISSN: 2377-8512
    Veröffentlicht: IEEE 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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  13. 13

    Radial Basis Function Neural Network Based on an Improved Exponential Decreasing Inertia Weight-Particle Swarm Optimization Algorithm for AQI Prediction von Lu, Jinna, Bai, Yanping, Hu, Hongping

    ISSN: 1085-3375, 1687-0409
    Veröffentlicht: Cairo, Egypt Hindawi Limiteds 01.01.2014
    Veröffentlicht 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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  14. 14

    On Some Non-linear Decreasing Inertia Weight Strategies in Particle Swarm Optimization von Huang Chongpeng, Zhang Yuling, Jiang Dingguo, Xu Baoguo

    ISBN: 9787811240559, 7811240556
    ISSN: 1934-1768
    Veröffentlicht: IEEE 01.07.2007
    Veröffentlicht 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 von Guimin Chen, Zhengfeng Min, Jianyuan Jia, Xinbo Huang

    ISBN: 9781424403325, 1424403324
    Veröffentlicht: IEEE 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 von Amoshahy, Mohammad Javad, Shamsi, Mousa, Sedaaghi, Mohammad Hossein

    ISSN: 1932-6203, 1932-6203
    Veröffentlicht: United States Public Library of Science 25.08.2016
    Veröffentlicht 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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  17. 17

    Chaotic particle swarm optimization algorithm based on adaptive inertia weight von Jun-wei Li, Yong-mei Cheng, Ke-zhe Chen

    ISBN: 147993707X, 9781479937073
    ISSN: 1948-9439
    Veröffentlicht: IEEE 01.05.2014
    Veröffentlicht 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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  18. 18

    A solution to particle swarm optimization algorithm with adaptive inertia weight for unit commitment von Chang, Wen-Ping, Yu, Hai, Hua, Da-Peng

    ISSN: 1674-3415
    Veröffentlicht: 01.08.2009
    Veröffentlicht 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 von Li Zhongqun, Zheng Hua, Pei Chengming

    ISBN: 9781424468928, 1424468922
    Veröffentlicht: IEEE 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 von Jiao, Bin, Lian, Zhigang, Gu, Xingsheng

    ISSN: 0960-0779, 1873-2887
    Veröffentlicht: Elsevier Ltd 01.08.2008
    Veröffentlicht 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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