Search Results - 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 by Arasomwan, Akugbe Martins, Adewumi, Aderemi Oluyinka

    ISSN: 2356-6140, 1537-744X, 1537-744X
    Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2013
    Published 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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    Journal Article
  2. 2

    Cognitive decision engine based on binary particles swarm optimization with non‐linear decreasing inertia weight by Shi, Chengzhuo, Dou, Zheng, Sangaiah, Arun Kumar, Wang, Jin

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken Wiley Subscription Services, Inc 25.06.2021
    Published 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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    Journal Article
  3. 3

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

    ISBN: 9780769536347, 0769536344
    ISSN: 2160-7443
    Published: 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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    Conference Proceeding
  4. 4

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

    ISSN: 2472-7555
    Published: 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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    Conference Proceeding
  5. 5

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

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

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

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.04.2020
    Published 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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    Journal Article
  7. 7

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

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

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

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2020
    Published 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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    Journal Article
  9. 9

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

    ISSN: 2086-9398, 2579-8901
    Published: Universitas Muhammadiyah Purwokerto 27.05.2022
    Published 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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    Journal Article
  10. 10

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

    ISBN: 0769535089, 9780769535081
    Published: 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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    Conference Proceeding
  11. 11
  12. 12

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

    ISSN: 2377-8512
    Published: 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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    Conference Proceeding
  13. 13

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

    ISSN: 1085-3375, 1687-0409
    Published: Cairo, Egypt Hindawi Limiteds 01.01.2014
    Published 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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    Journal Article
  14. 14

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

    ISBN: 9787811240559, 7811240556
    ISSN: 1934-1768
    Published: IEEE 01.07.2007
    Published 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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    Conference Proceeding
  15. 15

    Hybrid linear and nonlinear weight Particle Swarm Optimization algorithm by Jian-Ru Zheng, Guo-Li Zhang, Hua Zuo

    ISBN: 1467314846, 9781467314848
    ISSN: 2160-133X
    Published: IEEE 01.07.2012
    “…The inertia weight is an important parameter in the Particle Swarm Optimization algorithm, which controls the degree of influence of the contemporary speed to the next generation and plays a role…”
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    Conference Proceeding
  16. 16

    Self-Active Inertia Weight Strategy in Particle Swarm Optimization Algorithm by Guimin Chen, Zhengfeng Min, Jianyuan Jia, Xinbo Huang

    ISBN: 9781424403325, 1424403324
    Published: IEEE 2006
    “…Inertia weight is one of the most important parameters of particle swarm optimization (PSO) algorithm…”
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    Conference Proceeding
  17. 17

    A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm by Amoshahy, Mohammad Javad, Shamsi, Mousa, Sedaaghi, Mohammad Hossein

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 25.08.2016
    Published 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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    Journal Article
  18. 18

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

    ISBN: 147993707X, 9781479937073
    ISSN: 1948-9439
    Published: IEEE 01.05.2014
    Published 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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    Conference Proceeding
  19. 19

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

    ISSN: 1674-3415
    Published: 01.08.2009
    Published 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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    Journal Article
  20. 20

    Particle Swarm Optimization algorithm based on adaptive inertia weight by Li Zhongqun, Zheng Hua, Pei Chengming

    ISBN: 9781424468928, 1424468922
    Published: IEEE 01.07.2010
    “…Inertia weight can significantly impact the effectiveness of the Particle Swarm Optimization (PSO) algorithm…”
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    Conference Proceeding