Simultaneous Optimization of Start Up Scheme and Pipe Network for Multi-source Water Injection System Based on Improved Genetic Particle Swarm Optimization Algorithm
- 10.2991/meita-15.2015.61How to use a DOI?
- Multi-source and Looped Water Injection System; Pump Start Up Scheme; Pipe Network Optimization; Simultaneous Optimization; Genetic Particle Swarm Optimization Algorithm; Generalized Chromosome
In order to improve the system operating efficiency furthest, the simultaneous optimization of pump start up scheme and pipe network is necessary. Aiming at the multi-source and looped water injection system, the mathematical model for simultaneous optimization is established, in which the operating energy consumption and investment are served as objective function, the start-up and stop status, flow rate of pump, and the connection status, diameter of pipeline are taken as design variables. Aiming at the features of the simultaneous optimization problem, a dual generalized chromosome coding was proposed, the binary coding, real number coding, and integer coding are combined together. In order to improve the local searching ability, the particle swarm optimization algorithm is combined with the genetic algorithm. The method of initial solutions creating and many crossover and mutation methods that adapted to the optimize problem are designed. The example shows that the algorithm is efficient.
- © 2015, 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 - Jianjun Yang AU - Zhiyuan Zhang AU - Qingtang Li PY - 2015/08 DA - 2015/08 TI - Simultaneous Optimization of Start Up Scheme and Pipe Network for Multi-source Water Injection System Based on Improved Genetic Particle Swarm Optimization Algorithm BT - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications PB - Atlantis Press SP - 329 EP - 334 SN - 2352-5401 UR - https://doi.org/10.2991/meita-15.2015.61 DO - 10.2991/meita-15.2015.61 ID - Yang2015/08 ER -