1 |
Banks, A., J. Vincent, and C. Anyakoha (2007) "A review of particle swarm optimization. Part I: background and development", Natural Computing, 6(4), 467-484.
DOI
|
2 |
Bank, A., J. Vincent, and C. Anyakoha (2008) "A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications", Natural Computing, 7(1), 109-124.
DOI
|
3 |
Bratton, D. and J. Kennedy (2007) "Defining a standard for particle swarm optimization", Proceedings of the 2007 IEEE swarm intelligence symposium (SIS 2007), Honolulu, Hawaii, 120-127.
|
4 |
Chen, C. H. and L. H. Lee (2011) Stochastic simulation optimization: an optimal computing budget allocation (Vol. 1), World scientific, Singapore.
|
5 |
Choi, S. H., J. H. Lee, S. H. Lee, H. D. Yoo, J. Koo, and T. G. Kim (2016) "6dof aircraft simulation model capable of handling maneuver events (WIP)", Proceedings of the 2016 Summer Computer Simulation Conference (SCSC 2016), Montreal, Canada, Art. no. 54.
|
6 |
Choi, S. H. and T. G. Kim (2018) "Efficient ranking and selection for stochastic simulation model based on hypothesis test", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(9), 1555-1565.
DOI
|
7 |
Clerc, M. and J. Kennedy (2002) "The particle swarm-explosion, stability, and convergence in a multidimensional complex space", IEEE transactions on Evolutionary Computation, 6(1), 58-73.
DOI
|
8 |
Eberhart, R. and J. Kennedy (1995) "A new optimizer using particle swarm theory", Proceedings of the Sixth International Symposium on Micro Machine and Human Science (MHS '95), Nagoya, Japan, 39-43.
|
9 |
Fernandez-Marquez, J. L. and J. L. Arcos (2009) "An evaporation mechanism for dynamic and noisy mulimodal optimization", Proceedings of the 11th Annual conference on Genetic and evolutionary computation (GECCO-2009), Prague, Czech Republic, 17-24.
|
10 |
Horng, S. C., F. Y. Yang, and S. S. Lin (2012) "Applying PSO and OCBA to minimize the overkills and reprobes in wafer probe testing", IEEE Transactions on Semiconductor Manufacturing, 25(3), 531-540.
DOI
|
11 |
Jamil, M. and X. S. Yang (2013) "A literature survey of benchmark functions for global optimization problems", International Journal of Mathematical Modelling and Numerical Optimisation, 4(2), 150-194.
DOI
|
12 |
Xu, J., E. Huang, C.-H. Chen, and L. H. Lee (2015) "Simulation optimization: A review and exploration in the new era of cloud computing and big data", Asia-Pacific Journal of Operational Research, 32 (3), 1550019.
DOI
|
13 |
Xu, J., E. Huang, L. Hsieh, L. H. Lee, Q. S. Jia, and C.-H. Chen (2016) "Simulation optimization in the era of Industrial 4.0 and the Industrial Internet", Journal of Simulation, 10(4), 310-320.
DOI
|
14 |
Kennedy, J. and R. Eberhart (1995) "Particle swarm optimization", Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth, Australia, 1942-1948.
|
15 |
Pan, H., L. Wang, and B. Liu (2006) "Particle swarm optimization for function optimization in noisy environment", Applied Mathematics and Computation, 181(2), 908-919.
DOI
|
16 |
Sun, T. Y., C. C. Liu, S. J. Tsai, S. T. Hsieh, and K. Y. Li (2010) "Cluster guide particle swarm optimization (CGPSO) for underdetermined blind source separation with advanced conditions", IEEE Transactions on Evolutionary Computation, 15(6), 798-811.
DOI
|
17 |
Rada-Vilela, J., M. Zhang, and M. Johnston (2013) "Optimal computing budget allocation in particle swarm optimization", Proceedings of the 15th annual conference on Genetic and evolutionary computation (GECCO-2013), Amsterdam, The Netherlands, 81-88.
|
18 |
Rada-Vilela, J., M. Johnston, and M. Zhang (2015) "Population statistics for particle swarm optimization: Single-evaluation methods in noisy optimization problems", Soft computing, 19(9), 2691-2716.
DOI
|
19 |
Samanta, B. and C. Nataraj (2009) "Application of particle swarm optimization and proximal support vector machines for fault detection", Swarm Intelligence, 3(4), 303.
DOI
|
20 |
Taghiyeh, S. and J. Xu (2016) "A new particle swarm optimization algorithm for noisy optimization problems", Swarm Intelligence, 10(3), 161-192.
DOI
|
21 |
Zhang, S., J. Xu, L. H. Lee, E. P. Chew, W. P. Wong, and C.-H. Chen (2017) "Optimal computing budget allocation for particle swarm optimization in stochastic optimization", IEEE Transactions on Evolutionary Computation, 21(2), 206-219.
DOI
|