1. bookVolume 10 (2020): Edizione 2 (April 2020)
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2449-6499
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30 Dec 2014
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A New Auto Adaptive Fuzzy Hybrid Particle Swarm Optimization and Genetic Algorithm

Pubblicato online: 20 Mar 2020
Volume & Edizione: Volume 10 (2020) - Edizione 2 (April 2020)
Pagine: 95 - 111
Ricevuto: 29 Sep 2019
Accettato: 21 Feb 2020
Dettagli della rivista
License
Formato
Rivista
eISSN
2449-6499
Prima pubblicazione
30 Dec 2014
Frequenza di pubblicazione
4 volte all'anno
Lingue
Inglese

[1] WF Abd-El-Wahed, AA Mousa, and MA El-Shorbagy. Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems. Journal of Computational and Applied Mathematics, 235(5):1446–1453, 2011.10.1016/j.cam.2010.08.030Search in Google Scholar

[2] Mohamed Abdel-Basset, Ahmed E Fakhry, Ibrahim El-Henawy, Tie Qiu, and Arun Kumar Sangaiah. Feature and intensity based medical image registration using particle swarm optimization. Journal of medical systems, 41(12):197, 2017.10.1007/s10916-017-0846-929098445Search in Google Scholar

[3] Yulian Cao, Han Zhang, Wenfeng Li, Mengchu Zhou, Yu Zhang, and Wanpracha Art Chaovalitwongse. Comprehensive learning particle swarm optimization algorithm with local search for multi-modal functions. IEEE Transactions on Evolutionary Computation, 2018.Search in Google Scholar

[4] Kalyanmoy Deb. An introduction to genetic algorithms. Sadhana, 24(4-5):293–315, 1999.10.1007/BF02823145Search in Google Scholar

[5] Jinjin Ding, Qunjin Wang, Qian Zhang, Qiubo Ye, and Yuan Ma. A hybrid particle swarm optimization-cuckoo search algorithm and its engineering applications. Mathematical Problems in Engineering, 2019, 2019.10.1155/2019/5213759Search in Google Scholar

[6] Wenyong Dong and MengChu Zhou. A supervised learning and control method to improve particle swarm optimization algorithms. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(7):1135–1148, 2016.10.1109/TSMC.2016.2560128Search in Google Scholar

[7] Piotr Dziwiński, Łukasz Bartczuk, and Piotr Goetzen. A new hybrid particle swarm optimization and evolutionary algorithm. In Inter. Conf. on Artificial Intelligence and Soft Computing, pages 432–444. Springer, 2019.10.1007/978-3-030-20912-4_40Search in Google Scholar

[8] P. Dziwiński and Ł. Bartczuk. A new hybrid particle swarm optimization and genetic algorithm method controlled by fuzzy logic. IEEE Transactions on Fuzzy Systems, pages 1–1, 2019.Search in Google Scholar

[9] Russell Eberhart and James Kennedy. A new optimizer using particle swarm theory. In MHS’95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, pages 39–43. Ieee, 1995.Search in Google Scholar

[10] Shu-Kai S Fan, Yun-Chia Liang, and Erwie Zahara. A genetic algorithm and a particle swarm optimizer hybridized with nelder–mead simplex search. Computers & industrial engineering, 50(4):401–425, 2006.10.1016/j.cie.2005.01.022Search in Google Scholar

[11] Shu-Kai S Fan and Erwie Zahara. A hybrid simplex search and particle swarm optimization for unconstrained optimization. European Journal of Operational Research, 181(2):527–548, 2007.10.1016/j.ejor.2006.06.034Search in Google Scholar

[12] Harish Garg. A hybrid pso-ga algorithm for constrained optimization problems. Applied Math. and Comput., 274:292–305, 2016.10.1016/j.amc.2015.11.001Search in Google Scholar

[13] David E Goldberg. Genetic algorithms. Pearson Education India, 2006.Search in Google Scholar

[14] Yue-Jiao Gong, Jing-Jing Li, Yicong Zhou, Yun Li, Henry Shu-Hung Chung, Yu-Hui Shi, and Jun Zhang. Genetic learning particle swarm optimization. IEEE transactions on cybernetics, 46(10):2277–2290, 2015.10.1109/TCYB.2015.247517426394440Search in Google Scholar

[15] J-SR Jang and Chuen-Tsai Sun. Neuro-fuzzy modeling and control. Proceedings of the IEEE, 83(3):378–406, 1995.10.1109/5.364486Search in Google Scholar

[16] Chia-Feng Juang. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Trans. on Systems, Man, and Cybernetics, 34(2):997–1006, 2004.10.1109/TSMCB.2003.81855715376846Search in Google Scholar

[17] Yi-Tung Kao and Erwie Zahara. A hybrid genetic algorithm and particle swarm optimization for multimodal functions. Applied Soft Computing, 8(2):849–857, 2008.10.1016/j.asoc.2007.07.002Search in Google Scholar

[18] Oliver Kramer. Genetic algorithm essentials, volume 679. Springer, 2017.10.1007/978-3-319-52156-5Search in Google Scholar

[19] Evan Krell, Alaa Sheta, Arun Prassanth Ramaswamy Balasubramanian, and Scott A. King. Collision-free autonomous robot navigation in unknown environments utilizing pso for path planning. Journal of Artificial Intelligence and Soft Computing Research, 9(4):267–282, 2019.10.2478/jaiscr-2019-0008Search in Google Scholar

[20] RJ Kuo and YS Han. A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem–a case study on supply chain model. Applied Mathematical Modelling, 35(8):3905–3917, 2011.10.1016/j.apm.2011.02.008Search in Google Scholar

[21] H. Li and L. Li. A novel hybrid particle swarm optimization algorithm combined with harmony search for high dimensional optimization problems. In The 2007 International Conference on Intelligent Pervasive Computing (IPC 2007), pages 94–97, Oct 2007.10.1109/IPC.2007.22Search in Google Scholar

[22] Jing J Liang, A Kai Qin, Ponnuthurai N Suganthan, and S Baskar. Comprehensive learning particle swarm optimizer for global optimization of multi-modal functions. IEEE transactions on evolutionary computation, 10(3):281–295, 2006.10.1109/TEVC.2005.857610Search in Google Scholar

[23] Rui Mendes, James Kennedy, and José Neves. The fully informed particle swarm: simpler, maybe better. IEEE transactions on evolutionary computation, 8(3):204–210, 2004.Search in Google Scholar

[24] Tien-Szu Pan, Thi-Kien Dao, Shu-Chuan Chu, et al. Hybrid particle swarm optimization with bat algorithm. In Genetic and evolutionary computing, pages 37–47. Springer, 2015.10.1007/978-3-319-12286-1_5Search in Google Scholar

[25] K Premalatha and AM Natarajan. Hybrid pso and ga for global maximization. Int. J. Open Problems Compt. Math, 2(4):597–608, 2009.Search in Google Scholar

[26] J. Robinson, S. Sinton, and Y. Rahmat-Samii. Particle swarm, genetic algorithm, and their hybrids: optimization of a profiled corrugated horn antenna. In IEEE Antennas and Propagation Society International Symposium (IEEE Cat. No.02CH37313), volume 1, pages 314–317 vol.1, June 2002.Search in Google Scholar

[27] Leszek Rutkowski. Computational intelligence: methods and techniques. Springer Science & Business Media, 2008.Search in Google Scholar

[28] XH Shi, YC Liang, HP Lee, Chun Lu, and LM Wang. An improved ga and a novel pso-ga-based hybrid algorithm. Information Processing Letters, 93(5):255–261, 2005.10.1016/j.ipl.2004.11.003Search in Google Scholar

[29] Y. Shi and R. Eberhart. A modified particle swarm optimizer. In 1998 IEEE Inter. Conf. on Evolut. Comput. Proc., pages 69–73. IEEE, 1998.Search in Google Scholar

[30] Narinder Singh and SB Singh. Hybrid algorithm of particle swarm optimization and grey wolf optimizer for improving convergence performance. Journal of Applied Mathematics, 2017, 2017.10.1155/2017/2030489Search in Google Scholar

[31] SN Sivanandam and SN Deepa. Genetic algorithms. In Introduction to genetic algorithms, pages 15–37. Springer, 2008.10.1007/978-3-540-73190-0_2Search in Google Scholar

[32] George Tambouratzis. Using particle swarm optimization to accurately identify syntactic phrases in free text. Journal of Artificial Intelligence and Soft Computing Research, 8(1):63–67, 2018.10.1515/jaiscr-2018-0004Search in Google Scholar

[33] Jianchao Tang, Guoji Zhang, Binbin Lin, and Bixi Zhang. A hybrid pso/ga algorithm for job shop scheduling problem. In International Conference in Swarm Intelligence, pages 566–573. Springer, 2010.10.1007/978-3-642-13495-1_69Search in Google Scholar

[34] F. Valdez, P. Melin, O. Castillo, and O. Montiel. A new evolutionary method with a hybrid approach combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making. In 2008 IEEE Congress on Evolutionary Computation, pages 1333–1339, June 2008.10.1109/CEC.2008.4630968Search in Google Scholar

[35] Lin Wang, Bo Yang, and Jeff Orchard. Particle swarm optimization using dynamic tournament topology. Applied Soft Computing, 48:584–596, 2016.10.1016/j.asoc.2016.07.041Search in Google Scholar

[36] Xi-Huai Wang and Jun-Jun Li. Hybrid particle swarm optimization with simulated annealing. In Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No. 04EX826), volume 4, pages 2402–2405. IEEE, 2004.Search in Google Scholar

[37] Xin Yao, Yong Liu, and Guangming Lin. Evolutionary programming made faster. IEEE Transactions on Evolutionary computation, 3(2):82–102, 1999.10.1109/4235.771163Search in Google Scholar

[38] Fengchun Zhang, Wei Fan, Xingfeng Wu, and Gert F Pedersen. Performance testing of mimo device with the wireless cable method based on particle swarm optimization algorithm. In 2018 International Workshop on Antenna Technology (iWAT), pages 1–4. IEEE, 2018.10.1109/IWAT.2018.8379145Search in Google Scholar

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