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Self-adaptive Co-evolution differential evolution algorithm for optimal design of water distribution networks
FAN Qinqin,CHEN Kuilin,YAN Xuefeng * #
Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, 200237
*Correspondence author
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Funding: National Natural Science Foundation of China （No.No.21176073）, Doctoral Fund of Ministry of Education of China （No.No.20090074110005）, Shu Guang project （No.No.09SG29）, Program for New Century Excellent Talents in University （No.No.NCET-09-0346）
Opened online: 7 June 2012
Accepted by: none
Citation: FAN Qinqin,CHEN Kuilin,YAN Xuefeng.Self-adaptive Co-evolution differential evolution algorithm for optimal design of water distribution networks[OL]. [ 7 June 2012] http://en.paper.edu.cn/en_releasepaper/content/4480517
 
 
In this paper a new DE algorithm, i.e. self-adaptive co-evolution differential evolution (SACDE), is proposed to improve the optimization performance. SACDE employs the idea of co-evolution, which means that population and control parameters are coded together. While individuals are evolving, control parameters are changing in coordinately. The automatically updated parameters can adapt to different optimization problem and thus increase the robustness of the algorithm. Simulation results show that the proposed algorithm is better than classic DE algorithm. In comparison with other self-adaptive DE algorithm, the proposed algorithm is better in some conditions. Finally, the proposed algorithm is employed to optimize a discrete complex constrained optimization problem-water distribution network problem. SACDE achieves better results in benchmark water distribution network problems than previous methods. It demonstrates that SACDE not only can handle discrete constrained optimization problem but also shows its robustness due to the exponentially increasing complexity of different water distribution networks.
Keywords:Differential evolution algorithm;parameter co-evolution; water distribution networks
 
 
 

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