1 |
R. A. Formato, "Central force optimization: a new deterministic gradient-like optimization metaheuristic," Opsearch, vol. 46, no. 1, pp. 25-51, 2009.
DOI
|
2 |
A. Hatamlou, "Black hole: a new heuristic optimization approach for data clustering," Information Sciences, vol. 222, pp. 175-184, 2013.
DOI
|
3 |
H. Huang, M. Zhu, and J. Wang, "An improved artificial bee colony algorithm based on special division and intellective search," Journal of Information Processing Systems, vol. 15, no. 2, pp. 433-439, 2019.
DOI
|
4 |
L. Zhao and Y. Long, "An improved PSO algorithm for the classification of multiple power quality disturbances," Journal of Information Processing Systems, vol. 15, no. 1, pp. 116-126, 2019.
DOI
|
5 |
X. Song, M. Zhao, Q. Yan, and S. Xing, "A high-efficiency adaptive artificial bee colony algorithm using two strategies for continuous optimization," Swarm and Evolutionary Computation, vol. 50, article no. 100549, 2019.
DOI
|
6 |
E. Rashedi, H. Nezamabadi-Pour, and S. Saryazdi, "GSA: a gravitational search algorithm," Information Sciences, vol. 179, no. 13, pp. 2232-2248, 2009.
DOI
|
7 |
M. R. Chen, J. H. Chen, G. Q. Zeng, K. D. Lu, and X. F. Jiang, "An improved artificial bee colony algorithm combined with extremal optimization and Boltzmann Selection probability," Swarm and Evolutionary Computation, vol. 49, pp. 158-177, 2019.
DOI
|
8 |
M. Li, D. Lei, and J. Cai, "Two-level imperialist competitive algorithm for energy-efficient hybrid flow shop scheduling problem with relative importance of objectives," Swarm and Evolutionary Computation, vol. 49, pp. 34-43, 2019.
DOI
|
9 |
H. Kragh, "Max Planck: the reluctant revolutionary," Physics World, vol. 13, no. 12, pp. 31-36, 2000.
DOI
|
10 |
A. Einstein, "Uber einen die erzeugung und verwandlung des lichtes betreffenden heuristischen gesichtspunkt," Annalen der Physik, vol. 322, no. 6, pp. 132-148, 1905.
DOI
|
11 |
L. V. de Broglie, "On the theory of quanta," Annales de Physique, vol. 10, no. 3, pp. 22-128, 1925.
DOI
|
12 |
A. Mucherino and O. Seref, "Monkey search: a novel metaheuristic search for global optimization," AIP Conference Proceedings, vol. 953, no. 1, pp. 162-173, 2007.
|
13 |
J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceedings of the IEEE International Conference on Neural Networks, Perth, Australia, 1995, pp. 1942-1948.
|
14 |
D. Karaboga and B. Basturk, "A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm," Journal of Global Optimization, vol. 39, no. 3, pp. 459-471, 2007.
DOI
|
15 |
S. Mirjalili and A. Lewis, "The whale optimization algorithm," Advances in Engineering Software, vol. 95, pp. 51-67, 2016.
DOI
|
16 |
M. Dorigo, M. Birattari, and T. Stutzle, "Ant colony optimization," IEEE Computational Intelligence Magazine, vol. 1, no. 4, pp. 28-39, 2006.
DOI
|
17 |
P. C. Pinto, T. A. Runkler, and J. M. Sousa, "Wasp swarm algorithm for dynamic MAX-SAT problems," in Adaptive and Natural Computing Algorithms. Heidelberg: Springer, 2007, pp. 350-357.
|
18 |
A. Sharma, A. Sharma, B. K. Panigrahi, D. Kiran, and R. Kumar, "Ageist spider monkey optimization algorithm," Swarm and Evolutionary Computation, vol. 28, pp. 58-77, 2016.
DOI
|
19 |
Q. Zhou and Y. Q. Zhou, "Wolf colony search algorithm based on leader strategy," Application Research of Computers, vol. 30, no. 9, pp. 2629-2632, 2013.
DOI
|
20 |
C. R. Hwang, "Simulated Annealing: Theory and Applications by P. J. M. Van Laarhoven and E. H. Aarts, 1987," Acta Applicandae Mathematica, vol. 12, pp. 108-111, 1988.
DOI
|
21 |
A. Kaveh and S. Talatahari, "A novel heuristic optimization method: charged system search," Acta Mechanica, vol. 213, no. 3-4, pp. 267-289, 2010.
DOI
|
22 |
H. Shah-Hosseini, "Principal components analysis by the galaxy-based search algorithm: a novel metaheuristic for continuous optimization," International Journal of Computational Science and Engineering, vol. 6, no. 1-2, pp. 132-140, 2011.
DOI
|