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Journal of Experimental & Theoretical Artificial Intelligence Volume 28, 2016 - Issue 1-2: Advances and Applications of Swarm Intelligence
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An efficient oscillating inertia weight of particle swarm optimisation for tracking optima in dynamic environments

Javidan Kazemi KordestaniDepartment of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
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Alireza RezvanianSoft Computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., Tehran, Iran;Department of Computer Engineering, Hamedan Branch, Islamic Azad University, Hamedan, IranCorrespondence[email protected] [email protected]
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Mohammad Reza MeybodiSoft Computing Laboratory, Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Ave., Tehran, Iran
Pages 137-149 | Received 18 Mar 2014, Accepted 01 Sep 2014, Published online: 27 Mar 2015

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Arfan Ali Nagra, Fei Han & Qing Hua Ling. (2019) An improved hybrid self-inertia weight adaptive particle swarm optimization algorithm with local search. Engineering Optimization 51:7, pages 1115-1132.
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Xiangyang Hu, Junfei Zhou, Junhui Li, Wenqing Gao, Jun Zhou, Jiancheng Yu & Keqi Tang. (2023) An improved algorithm for resolving overlapping peaks in ion mobility spectrometry and its application to the separation of glycan isomers. The Analyst 148:21, pages 5514-5524.
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Jing Wang, Xingyi Wang, Xiongfei Li & Jiacong Yi. (2023) A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters. Entropy 25:3, pages 531.
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Alireza Rezvanian, S. Mehdi Vahidipour & Ali Sadollah. 2023. Ant Colony Optimization - Recent Variants, Application and Perspectives [Working Title]. Ant Colony Optimization - Recent Variants, Application and Perspectives [Working Title].
Yukun Dong, Yu Zhang, Fubin Liu & Zhengjun Zhu. (2022) Research on an Optimization Method for Injection-Production Parameters Based on an Improved Particle Swarm Optimization Algorithm. Energies 15:8, pages 2889.
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Sami Zdiri, Jaouher Chrouta & Abderrahmen Zaafouri. (2021) An Expanded Heterogeneous Particle Swarm Optimization Based on Adaptive Inertia Weight. Mathematical Problems in Engineering 2021, pages 1-24.
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Rohit Salgotra, Urvinder Singh, Gurdeep Singh, Nitin Mittal & Amir H. Gandomi. (2021) A self-adaptive hybridized differential evolution naked mole-rat algorithm for engineering optimization problems. Computer Methods in Applied Mechanics and Engineering 383, pages 113916.
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Danial Yazdani, Ran Cheng, Donya Yazdani, Jurgen Branke, Yaochu Jin & Xin Yao. (2021) A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A. IEEE Transactions on Evolutionary Computation 25:4, pages 609-629.
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Danial Yazdani, Ran Cheng, Donya Yazdani, Jurgen Branke, Yaochu Jin & Xin Yao. (2021) A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part B. IEEE Transactions on Evolutionary Computation 25:4, pages 630-650.
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Bailun Zhang, Jing Zhang, Yongming Han & ZhiqiangGeng. (2021) Dynamic soft sensor modeling method fusing process feature information based on an improved intelligent optimization algorithm. Chemometrics and Intelligent Laboratory Systems, pages 104415.
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Prajna Parimita Dash, Sudhansu Kumar Mishra, Kishore Kumar Senapati & Ganapati Panda. (2020) Interactive teaching learning based optimization technique for multiple object tracking. Multimedia Tools and Applications 80:7, pages 10577-10600.
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Javidan Kazemi Kordestani, Mehdi Razapoor Mirsaleh, Alireza Rezvanian & Mohammad Reza Meybodi. 2021. Advances in Learning Automata and Intelligent Optimization. Advances in Learning Automata and Intelligent Optimization 287 321 .
Javidan Kazemi Kordestani, Mehdi Razapoor Mirsaleh, Alireza Rezvanian & Mohammad Reza Meybodi. 2021. Advances in Learning Automata and Intelligent Optimization. Advances in Learning Automata and Intelligent Optimization 127 157 .
Javidan Kazemi Kordestani, Mehdi Razapoor Mirsaleh, Alireza Rezvanian & Mohammad Reza Meybodi. 2021. Advances in Learning Automata and Intelligent Optimization. Advances in Learning Automata and Intelligent Optimization 75 125 .
Reza Vafashoar, Hossein Morshedlou, Alireza Rezvanian & Mohammad Reza MeybodiReza Vafashoar, Hossein Morshedlou, Alireza Rezvanian & Mohammad Reza Meybodi. 2021. Cellular Learning Automata: Theory and Applications. Cellular Learning Automata: Theory and Applications 1 81 .
Javidan Kazemi Kordestani, Alireza Rezvanian & Mohammad Reza Meybodi. (2017) New measures for comparing optimization algorithms on dynamic optimization problems. Natural Computing 18:4, pages 705-720.
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Novendra Setyawan, Rusdhianto Effendi Abdul Kadir & Ahmad Jazidie. (2017) Adaptive Gaussian parameter particle swarm optimization and its implementation in mobile robot path planning. Adaptive Gaussian parameter particle swarm optimization and its implementation in mobile robot path planning.
Wasim A. Hussein, Siti Norul Huda Sheikh Abdullah & Shahnorbanun Sahran. (2017) The Patch-Levy-Based Bees Algorithm Applied to Dynamic Optimization Problems. Discrete Dynamics in Nature and Society 2017, pages 1-27.
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Tzuu-Hseng S. Li, Chih-Jui Lin, Ping-Huan Kuo & Yin-Hao Wang. (2016) Grasping Posture Control Design for a Home Service Robot Using an ABC-Based Adaptive PSO Algorithm. International Journal of Advanced Robotic Systems 13:3, pages 118.
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