Discrete Particle Swarm Optimization Algorithms for the Prize-Collecting Call Control Problem on Lines
Authors
Qian-Na Cui, Xing Wu, Qiao-Yan Zhu
Corresponding Author
Qian-Na Cui
Available Online December 2016.
- DOI
- 10.2991/icwcsn-16.2017.96How to use a DOI?
- Keywords
- DPSO algorithm; prize-collecting; call control; lines
- Abstract
In this paper,we propose two discrete particle swarm optimization algorithms to solve a prize-collecting call control problem on lines based on the classical particle swarm optimization algorithm. The two algorithms combine simulated annealing and genetical methods with particle swarm optimization respectively. Then, we do lots of experiments to compare the two discrete particle swarm optimization algorithms we addressed, in which we compare the results and iteration time and the convergence of two algorithms under some given variables. Finally, computational results show that the proposed discrete particle swarm optimization with genetic algorithm is very efficient and can be quickly obtained good results.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qian-Na Cui AU - Xing Wu AU - Qiao-Yan Zhu PY - 2016/12 DA - 2016/12 TI - Discrete Particle Swarm Optimization Algorithms for the Prize-Collecting Call Control Problem on Lines BT - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016) PB - Atlantis Press SP - 464 EP - 469 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.96 DO - 10.2991/icwcsn-16.2017.96 ID - Cui2016/12 ER -