Particle swarm optimization (English Wikipedia)

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Bonyadi, M. R.; Michalewicz, Z. (2017). "Particle swarm optimization for single objective continuous space problems: a review". Evolutionary Computation. 25 (1): 1–54. doi:10.1162/EVCO_r_00180. PMID 26953883. S2CID 8783143.
Kennedy, J.; Eberhart, R. (1995). "Particle Swarm Optimization". Proceedings of IEEE International Conference on Neural Networks. Vol. IV. pp. 1942–1948. doi:10.1109/ICNN.1995.488968.
Shi, Y.; Eberhart, R.C. (1998). "A modified particle swarm optimizer". Proceedings of IEEE International Conference on Evolutionary Computation. pp. 69–73. doi:10.1109/ICEC.1998.699146.
Kennedy, J. (1997). "The particle swarm: social adaptation of knowledge". Proceedings of IEEE International Conference on Evolutionary Computation. pp. 303–308. doi:10.1109/ICEC.1997.592326.
Poli, R. (2008). "Analysis of the publications on the applications of particle swarm optimisation" (PDF). Journal of Artificial Evolution and Applications. 2008: 1–10. doi:10.1155/2008/685175.
Bratton, Daniel; Kennedy, James (2007). "Defining a Standard for Particle Swarm Optimization". 2007 IEEE Swarm Intelligence Symposium (PDF). pp. 120–127. doi:10.1109/SIS.2007.368035. ISBN 978-1-4244-0708-8. S2CID 6217309.
Taherkhani, M.; Safabakhsh, R. (2016). "A novel stability-based adaptive inertia weight for particle swarm optimization". Applied Soft Computing. 38: 281–295. doi:10.1016/j.asoc.2015.10.004.
Clerc, M.; Kennedy, J. (2002). "The particle swarm - explosion, stability, and convergence in a multidimensional complex space". IEEE Transactions on Evolutionary Computation. 6 (1): 58–73. CiteSeerX 10.1.1.460.6608. doi:10.1109/4235.985692.
Trelea, I.C. (2003). "The Particle Swarm Optimization Algorithm: convergence analysis and parameter selection". Information Processing Letters. 85 (6): 317–325. doi:10.1016/S0020-0190(02)00447-7.
Bratton, D.; Blackwell, T. (2008). "A Simplified Recombinant PSO" (PDF). Journal of Artificial Evolution and Applications. 2008: 1–10. doi:10.1155/2008/654184.
Meissner, M.; Schmuker, M.; Schneider, G. (2006). "Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training". BMC Bioinformatics. 7 (1): 125. doi:10.1186/1471-2105-7-125. PMC 1464136. PMID 16529661.
Pedersen, M.E.H.; Chipperfield, A.J. (2010). "Simplifying particle swarm optimization". Applied Soft Computing. 10 (2): 618–628. CiteSeerX 10.1.1.149.8300. doi:10.1016/j.asoc.2009.08.029.
Mason, Karl; Duggan, Jim; Howley, Enda (2018). "A Meta Optimisation Analysis of Particle Swarm Optimisation Velocity Update Equations for Watershed Management Learning". Applied Soft Computing. 62: 148–161. doi:10.1016/j.asoc.2017.10.018.
Nobile, M.S; Cazzaniga, P.; Besozzi, D.; Colombo, R.; Mauri, G.; Pasi, G. (2018). "Fuzzy Self-Tuning PSO: a settings-free algorithm for global optimization". Swarm and Evolutionary Computation. 39: 70–85. doi:10.1016/j.swevo.2017.09.001. hdl:10446/106467.
Nobile, M.S; Pasi, G.; Cazzaniga, P.; Besozzi, D.; Colombo, R.; Mauri, G. (2015). "Proactive particles in swarm optimization: a self-tuning algorithm based on fuzzy logic". Proceedings of the 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul (Turkey). pp. 1–8. doi:10.1109/FUZZ-IEEE.2015.7337957.
Cazzaniga, P.; Nobile, M.S.; Besozzi, D. (2015). "The impact of particles initialization in PSO: parameter estimation as a case in point, (Canada)". Proceedings of IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology. doi:10.1109/CIBCB.2015.7300288.
Kennedy, J.; Mendes, R. (2002). "Population structure and particle swarm performance". Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600). Vol. 2. pp. 1671–1676 vol.2. CiteSeerX 10.1.1.114.7988. doi:10.1109/CEC.2002.1004493. ISBN 978-0-7803-7282-5. S2CID 14364974.
Oliveira, M.; Pinheiro, D.; Andrade, B.; Bastos-Filho, C.; Menezes, R. (2016). "Communication Diversity in Particle Swarm Optimizers". Swarm Intelligence. Lecture Notes in Computer Science. Vol. 9882. pp. 77–88. doi:10.1007/978-3-319-44427-7_7. ISBN 978-3-319-44426-0. S2CID 37588745.
Jian-Yu, Li (2021). "Generation-Level Parallelism for Evolutionary Computation: A Pipeline-Based Parallel Particle Swarm Optimization". IEEE Transactions on Cybernetics. 51 (10): 4848-4859. doi:10.1109/TCYB.2020.3028070. PMID 33147159.
Cleghorn, Christopher W (2014). "Particle Swarm Convergence: Standardized Analysis and Topological Influence". Swarm Intelligence. Lecture Notes in Computer Science. Vol. 8667. pp. 134–145. doi:10.1007/978-3-319-09952-1_12. ISBN 978-3-319-09951-4.
Liu, Q (2015). "Order-2 stability analysis of particle swarm optimization". Evolutionary Computation. 23 (2): 187–216. doi:10.1162/EVCO_a_00129. PMID 24738856. S2CID 25471827.
Cleghorn, Christopher W.; Engelbrecht, Andries. (2018). "Particle Swarm Stability: A Theoretical Extension using the Non-Stagnate Distribution Assumption". Swarm Intelligence. 12 (1): 1–22. doi:10.1007/s11721-017-0141-x. hdl:2263/62934. S2CID 9778346.
Bonyadi, Mohammad reza.; Michalewicz, Z. (2014). "A locally convergent rotationally invariant particle swarm optimization algorithm" (PDF). Swarm Intelligence. 8 (3): 159–198. doi:10.1007/s11721-014-0095-1. S2CID 2261683.
Zhan, Z-H.; Zhang, J.; Li, Y; Shi, Y-H. (2011). "Orthogonal Learning Particle Swarm Optimization" (PDF). IEEE Transactions on Evolutionary Computation. 15 (6): 832–847. doi:10.1109/TEVC.2010.2052054.
Zhan, Z-H.; Zhang, J.; Li, Y; Chung, H.S-H. (2009). "Adaptive Particle Swarm Optimization" (PDF). IEEE Transactions on Systems, Man, and Cybernetics. 39 (6): 1362–1381. doi:10.1109/TSMCB.2009.2015956. PMID 19362911. S2CID 11191625.
Wang, Ye-Qun; Li, Jian-Yu; Chen, Chun-Hua; Zhang, Jun; Zhan, Zhi-Hui (September 2023). "Scale adaptive fitness evaluation-based particle swarm optimisation for hyperparameter and architecture optimisation in neural networks and deep learning". CAAI Transactions on Intelligence Technology. 8 (3): 849-862. doi:10.1049/cit2.12106.
Zambrano-Bigiarini, M.; Clerc, M.; Rojas, R. (2013). "Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements". 2013 IEEE Congress on Evolutionary Computation. Evolutionary Computation (CEC), 2013 IEEE Congress on. pp. 2337–2344. doi:10.1109/CEC.2013.6557848. ISBN 978-1-4799-0454-9. S2CID 206553432.
Niknam, T.; Amiri, B. (2010). "An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis". Applied Soft Computing. 10 (1): 183–197. doi:10.1016/j.asoc.2009.07.001.
Zhang, Y.; Wang, S. (2015). "Pathological Brain Detection in Magnetic Resonance Imaging Scanning by Wavelet Entropy and Hybridization of Biogeography-based Optimization and Particle Swarm Optimization". Progress in Electromagnetics Research. 152: 41–58. doi:10.2528/pier15040602.
Xinchao, Z. (2010). "A perturbed particle swarm algorithm for numerical optimization". Applied Soft Computing. 10 (1): 119–124. doi:10.1016/j.asoc.2009.06.010.
Cheung, N. J.; Ding, X.-M.; Shen, H.-B. (2013). "OptiFel: A Convergent Heterogeneous Particle Sarm Optimization Algorithm for Takagi-Sugeno Fuzzy Modeling". IEEE Transactions on Fuzzy Systems. 22 (4): 919–933. doi:10.1109/TFUZZ.2013.2278972. S2CID 27974467.
Nobile, M.; Besozzi, D.; Cazzaniga, P.; Mauri, G.; Pescini, D. (2012). "A GPU-Based Multi-Swarm PSO Method for Parameter Estimation in Stochastic Biological Systems Exploiting Discrete-Time Target Series". Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. Lecture Notes in Computer Science. Vol. 7264. pp. 74–85. doi:10.1007/978-3-642-29066-4_7.
Tu, Z.; Lu, Y. (2004). "A robust stochastic genetic algorithm (StGA) for global numerical optimization". IEEE Transactions on Evolutionary Computation. 8 (5): 456–470. doi:10.1109/TEVC.2004.831258. S2CID 22382958.
Tu, Z.; Lu, Y. (2008). "Corrections to "A Robust Stochastic Genetic Algorithm (StGA) for Global Numerical Optimization". IEEE Transactions on Evolutionary Computation. 12 (6): 781. doi:10.1109/TEVC.2008.926734. S2CID 2864886.
Kennedy, James (2003). "Bare bones particle swarms". Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706). pp. 80–87. doi:10.1109/SIS.2003.1202251. ISBN 0-7803-7914-4. S2CID 37185749.
Parsopoulos, K.; Vrahatis, M. (2002). "Particle swarm optimization method in multiobjective problems". Proceedings of the ACM Symposium on Applied Computing (SAC). pp. 603–607. doi:10.1145/508791.508907.
Mason, Karl; Duggan, Jim; Howley, Enda (2017). "Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants". Neurocomputing. 270: 188–197. doi:10.1016/j.neucom.2017.03.086.
Jarboui, B.; Damak, N.; Siarry, P.; Rebai, A. (2008). "A combinatorial particle swarm optimization for solving multi-mode resource-constrained project scheduling problems". Applied Mathematics and Computation. 195: 299–308. doi:10.1016/j.amc.2007.04.096.
Chen, Wei-neng; Zhang, Jun (2010). "A novel set-based particle swarm optimization method for discrete optimization problem". IEEE Transactions on Evolutionary Computation. 14 (2): 278–300. CiteSeerX 10.1.1.224.5378. doi:10.1109/tevc.2009.2030331. S2CID 17984726.

georgeevers.org

Evers, G. (2009). An Automatic Regrouping Mechanism to Deal with Stagnation in Particle Swarm Optimization. The University of Texas - Pan American, Department of Electrical Engineering. Archived from the original (Master's thesis) on 2011-05-18. Retrieved 2010-05-05.

gla.ac.uk

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Zhan, Z-H.; Zhang, J.; Li, Y; Shi, Y-H. (2011). "Orthogonal Learning Particle Swarm Optimization" (PDF). IEEE Transactions on Evolutionary Computation. 15 (6): 832–847. doi:10.1109/TEVC.2010.2052054.
Zhan, Z-H.; Zhang, J.; Li, Y; Chung, H.S-H. (2009). "Adaptive Particle Swarm Optimization" (PDF). IEEE Transactions on Systems, Man, and Cybernetics. 39 (6): 1362–1381. doi:10.1109/TSMCB.2009.2015956. PMID 19362911. S2CID 11191625.

handle.net

hdl.handle.net

Nobile, M.S; Cazzaniga, P.; Besozzi, D.; Colombo, R.; Mauri, G.; Pasi, G. (2018). "Fuzzy Self-Tuning PSO: a settings-free algorithm for global optimization". Swarm and Evolutionary Computation. 39: 70–85. doi:10.1016/j.swevo.2017.09.001. hdl:10446/106467.
Cleghorn, Christopher W.; Engelbrecht, Andries. (2018). "Particle Swarm Stability: A Theoretical Extension using the Non-Stagnate Distribution Assumption". Swarm Intelligence. 12 (1): 1–22. doi:10.1007/s11721-017-0141-x. hdl:2263/62934. S2CID 9778346.

hindawi.com

downloads.hindawi.com

Poli, R. (2008). "Analysis of the publications on the applications of particle swarm optimisation" (PDF). Journal of Artificial Evolution and Applications. 2008: 1–10. doi:10.1155/2008/685175.
Bratton, D.; Blackwell, T. (2008). "A Simplified Recombinant PSO" (PDF). Journal of Artificial Evolution and Applications. 2008: 1–10. doi:10.1155/2008/654184.

hindawi.com

Zhang, Y. (2015). "A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications". Mathematical Problems in Engineering. 2015: 931256.

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Carlisle, A.; Dozier, G. (2001). "An Off-The-Shelf PSO" (PDF). Proceedings of the Particle Swarm Optimization Workshop. pp. 1–6. Archived from the original (PDF) on 2003-05-03.

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Bonyadi, M. R.; Michalewicz, Z. (2017). "Particle swarm optimization for single objective continuous space problems: a review". Evolutionary Computation. 25 (1): 1–54. doi:10.1162/EVCO_r_00180. PMID 26953883. S2CID 8783143.
Meissner, M.; Schmuker, M.; Schneider, G. (2006). "Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training". BMC Bioinformatics. 7 (1): 125. doi:10.1186/1471-2105-7-125. PMC 1464136. PMID 16529661.
Jian-Yu, Li (2021). "Generation-Level Parallelism for Evolutionary Computation: A Pipeline-Based Parallel Particle Swarm Optimization". IEEE Transactions on Cybernetics. 51 (10): 4848-4859. doi:10.1109/TCYB.2020.3028070. PMID 33147159.
Liu, Q (2015). "Order-2 stability analysis of particle swarm optimization". Evolutionary Computation. 23 (2): 187–216. doi:10.1162/EVCO_a_00129. PMID 24738856. S2CID 25471827.
Zhan, Z-H.; Zhang, J.; Li, Y; Chung, H.S-H. (2009). "Adaptive Particle Swarm Optimization" (PDF). IEEE Transactions on Systems, Man, and Cybernetics. 39 (6): 1362–1381. doi:10.1109/TSMCB.2009.2015956. PMID 19362911. S2CID 11191625.

ncbi.nlm.nih.gov

Meissner, M.; Schmuker, M.; Schneider, G. (2006). "Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training". BMC Bioinformatics. 7 (1): 125. doi:10.1186/1471-2105-7-125. PMC 1464136. PMID 16529661.

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Bratton, Daniel; Kennedy, James (2007). "Defining a Standard for Particle Swarm Optimization". 2007 IEEE Swarm Intelligence Symposium (PDF). pp. 120–127. doi:10.1109/SIS.2007.368035. ISBN 978-1-4244-0708-8. S2CID 6217309.

psu.edu

citeseerx.ist.psu.edu

Clerc, M.; Kennedy, J. (2002). "The particle swarm - explosion, stability, and convergence in a multidimensional complex space". IEEE Transactions on Evolutionary Computation. 6 (1): 58–73. CiteSeerX 10.1.1.460.6608. doi:10.1109/4235.985692.
Pedersen, M.E.H.; Chipperfield, A.J. (2010). "Simplifying particle swarm optimization". Applied Soft Computing. 10 (2): 618–628. CiteSeerX 10.1.1.149.8300. doi:10.1016/j.asoc.2009.08.029.
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Kennedy, J.; Mendes, R. (2002). "Population structure and particle swarm performance". Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600). Vol. 2. pp. 1671–1676 vol.2. CiteSeerX 10.1.1.114.7988. doi:10.1109/CEC.2002.1004493. ISBN 978-0-7803-7282-5. S2CID 14364974.
Chen, Wei-neng; Zhang, Jun (2010). "A novel set-based particle swarm optimization method for discrete optimization problem". IEEE Transactions on Evolutionary Computation. 14 (2): 278–300. CiteSeerX 10.1.1.224.5378. doi:10.1109/tevc.2009.2030331. S2CID 17984726.

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Bonyadi, M. R.; Michalewicz, Z. (2017). "Particle swarm optimization for single objective continuous space problems: a review". Evolutionary Computation. 25 (1): 1–54. doi:10.1162/EVCO_r_00180. PMID 26953883. S2CID 8783143.
Bratton, Daniel; Kennedy, James (2007). "Defining a Standard for Particle Swarm Optimization". 2007 IEEE Swarm Intelligence Symposium (PDF). pp. 120–127. doi:10.1109/SIS.2007.368035. ISBN 978-1-4244-0708-8. S2CID 6217309.
Pedersen, M.E.H. (2010). Tuning & Simplifying Heuristical Optimization (PDF). University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group. S2CID 107805461. Archived from the original (PhD thesis) on 2020-02-13.
Kennedy, J.; Mendes, R. (2002). "Population structure and particle swarm performance". Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600). Vol. 2. pp. 1671–1676 vol.2. CiteSeerX 10.1.1.114.7988. doi:10.1109/CEC.2002.1004493. ISBN 978-0-7803-7282-5. S2CID 14364974.
Oliveira, M.; Pinheiro, D.; Andrade, B.; Bastos-Filho, C.; Menezes, R. (2016). "Communication Diversity in Particle Swarm Optimizers". Swarm Intelligence. Lecture Notes in Computer Science. Vol. 9882. pp. 77–88. doi:10.1007/978-3-319-44427-7_7. ISBN 978-3-319-44426-0. S2CID 37588745.
Liu, Q (2015). "Order-2 stability analysis of particle swarm optimization". Evolutionary Computation. 23 (2): 187–216. doi:10.1162/EVCO_a_00129. PMID 24738856. S2CID 25471827.
Cleghorn, Christopher W.; Engelbrecht, Andries. (2018). "Particle Swarm Stability: A Theoretical Extension using the Non-Stagnate Distribution Assumption". Swarm Intelligence. 12 (1): 1–22. doi:10.1007/s11721-017-0141-x. hdl:2263/62934. S2CID 9778346.
Bonyadi, Mohammad reza.; Michalewicz, Z. (2014). "A locally convergent rotationally invariant particle swarm optimization algorithm" (PDF). Swarm Intelligence. 8 (3): 159–198. doi:10.1007/s11721-014-0095-1. S2CID 2261683.
Zhan, Z-H.; Zhang, J.; Li, Y; Chung, H.S-H. (2009). "Adaptive Particle Swarm Optimization" (PDF). IEEE Transactions on Systems, Man, and Cybernetics. 39 (6): 1362–1381. doi:10.1109/TSMCB.2009.2015956. PMID 19362911. S2CID 11191625.
Zambrano-Bigiarini, M.; Clerc, M.; Rojas, R. (2013). "Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements". 2013 IEEE Congress on Evolutionary Computation. Evolutionary Computation (CEC), 2013 IEEE Congress on. pp. 2337–2344. doi:10.1109/CEC.2013.6557848. ISBN 978-1-4799-0454-9. S2CID 206553432.
Cheung, N. J.; Ding, X.-M.; Shen, H.-B. (2013). "OptiFel: A Convergent Heterogeneous Particle Sarm Optimization Algorithm for Takagi-Sugeno Fuzzy Modeling". IEEE Transactions on Fuzzy Systems. 22 (4): 919–933. doi:10.1109/TFUZZ.2013.2278972. S2CID 27974467.
Tu, Z.; Lu, Y. (2004). "A robust stochastic genetic algorithm (StGA) for global numerical optimization". IEEE Transactions on Evolutionary Computation. 8 (5): 456–470. doi:10.1109/TEVC.2004.831258. S2CID 22382958.
Tu, Z.; Lu, Y. (2008). "Corrections to "A Robust Stochastic Genetic Algorithm (StGA) for Global Numerical Optimization". IEEE Transactions on Evolutionary Computation. 12 (6): 781. doi:10.1109/TEVC.2008.926734. S2CID 2864886.
Kennedy, James (2003). "Bare bones particle swarms". Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706). pp. 80–87. doi:10.1109/SIS.2003.1202251. ISBN 0-7803-7914-4. S2CID 37185749.
Chen, Wei-neng; Zhang, Jun (2010). "A novel set-based particle swarm optimization method for discrete optimization problem". IEEE Transactions on Evolutionary Computation. 14 (2): 278–300. CiteSeerX 10.1.1.224.5378. doi:10.1109/tevc.2009.2030331. S2CID 17984726.

pdfs.semanticscholar.org

Pedersen, M.E.H. (2010). Tuning & Simplifying Heuristical Optimization (PDF). University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group. S2CID 107805461. Archived from the original (PhD thesis) on 2020-02-13.
Mendes, R. (2004). Population Topologies and Their Influence in Particle Swarm Performance (PhD thesis). Universidade do Minho.

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uq.edu.au

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Bonyadi, Mohammad reza.; Michalewicz, Z. (2014). "A locally convergent rotationally invariant particle swarm optimization algorithm" (PDF). Swarm Intelligence. 8 (3): 159–198. doi:10.1007/s11721-014-0095-1. S2CID 2261683.

web.archive.org

Poli, R. (2007). "An analysis of publications on particle swarm optimisation applications" (PDF). Technical Report CSM-469. Archived from the original (PDF) on 2011-07-16. Retrieved 2010-05-03.
Carlisle, A.; Dozier, G. (2001). "An Off-The-Shelf PSO" (PDF). Proceedings of the Particle Swarm Optimization Workshop. pp. 1–6. Archived from the original (PDF) on 2003-05-03.
Evers, G. (2009). An Automatic Regrouping Mechanism to Deal with Stagnation in Particle Swarm Optimization. The University of Texas - Pan American, Department of Electrical Engineering. Archived from the original (Master's thesis) on 2011-05-18. Retrieved 2010-05-05.
Pedersen, M.E.H. (2010). Tuning & Simplifying Heuristical Optimization (PDF). University of Southampton, School of Engineering Sciences, Computational Engineering and Design Group. S2CID 107805461. Archived from the original (PhD thesis) on 2020-02-13.
Elshamy, W.; Rashad, H.; Bahgat, A. (2007). "Clubs-based Particle Swarm Optimization" (PDF). IEEE Swarm Intelligence Symposium 2007 (SIS2007). Honolulu, HI. pp. 289–296. Archived from the original (PDF) on 2013-10-23. Retrieved 2012-04-27.

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Zhang, Wen-Jun; Xie, Xiao-Feng (2003). DEPSO: hybrid particle swarm with differential evolution operator. IEEE International Conference on Systems, Man, and Cybernetics (SMCC), Washington, DC, USA: 3816-3821.
Xie, Xiao-Feng; Zhang, Wen-Jun; Yang, Zhi-Lian (2002). A dissipative particle swarm optimization. Congress on Evolutionary Computation (CEC), Honolulu, HI, USA: 1456-1461.

yonsei.ac.kr

sclab.yonsei.ac.kr

Roy, R., Dehuri, S., & Cho, S. B. (2012). A Novel Particle Swarm Optimization Algorithm for Multi-Objective Combinatorial Optimization Problem. 'International Journal of Applied Metaheuristic Computing (IJAMC)', 2(4), 41-57