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Volume 15 Issue 4
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SHEN Wei, GUO Zong-lou, LIU Guo-hua. Direct search-simulated annealing algorithm in the optimal planning of water pollution control system[J]. Advances in Water Science, 2004, 15(4): 445-447.
Citation: SHEN Wei, GUO Zong-lou, LIU Guo-hua. Direct search-simulated annealing algorithm in the optimal planning of water pollution control system[J]. Advances in Water Science, 2004, 15(4): 445-447.
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Direct search-simulated annealing algorithm in the optimal planning of water pollution control system

  • 1.

    College of Biosystems Engineering and Food Sciences, Zhejiang University, Hangzhou 310027, China;

  • 2.

    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China

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  • Received Date: April 24, 2003
  • Revised Date: July 21, 2003
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    • Abstract
  • A direct search-simulated annealing(DSA)which is memory-based is suggested and constituted to solve the optimum planning model. The algorithm is applied to the optimum planning for the waste treatment system of Urumqi,Xinjiang. Results show an improved performance in finding the global minimum when water quality requirements have been fulfilled. The DSA has been shown to be fast,efficient and stable.And the program is simple.It provides a new way to the optimal planning of water pollution control system and has great application prospects.
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    • References (6)
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