925

-928.[5] Guo, Q., Wu, J., Yu, J., Fu, L., & Gao, Y. (2015, December). A Novel Multi-Objective Optimization Algorithm Based on Adaptive Mutation. In 2015 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) (pp. 518-523). IEEE.[6] J. Kennedy and R. Eberhart, “Particle swarm optimization,” in IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948, 1995.[7] T. Jiang, Y. Wang, and Z. Tang, “A hybrid particle swarm optimization algorithm based on differential evolution,” Applied Mathematics and Computation, vol. 213, no. 1, pp. 217–224, 2009.[8] Y. Shi and R. C. Eberhart, “A modified particle swarm optimizer,” in Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., 1998, pp. 69–73.[9] M. Dorigo, V. Maniezzo, and A. Colorni, “The ant system: optimization by a colony of cooperating agents,” IEEE Transactions on Systems, Man, and Cybernetics-Part B, vol. 26, no. 1, pp. 29–41, 1996.[10] A. G. Hopper, “The ant colony optimization meta-heuristic,” in New Ideas in Optimization, McGraw-Hill, 1999, pp. 11–32.
[vul aan] date: 10-12-2022 08:47:06

Zoek ook bij Google even verder