Journal of Jilin University(Earth Science Edition) ›› 2015, Vol. 45 ›› Issue (5): 1485-1492.doi: 10.13278/j.cnki.jjuese.201505203

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New Harmonic Oscillator Genetic Algorithm for Efficient Groundwater Optimization and Management

Wu Ming1, Wu Jianfeng1, Shi Xiaoqing1, Liu Jie2, Chen Gan1, Wu Jichun1   

  1. 1. Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China;
    2. Center for Water Research, College of Engineering, Peking University, Beijing 100871, China
  • Received:2014-12-12 Published:2015-09-26

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Abstract:

Combining the advantages of conventional genetic algorithm (GA) with simulated harmonic oscillator algorithm (SHOA), we put forward a new efficient harmonic oscillator genetic algorithm (HOGA). Based on the application to an ideal test and an optimization test for the groundwater management model of a typical region in North China Plain (NCP), the comparisons among GA, SHOA and HOGA are performed in respect both of the quality of optimal solutions and the efficiency of algorithmic optimization. Compared with GA and SHOA, HOGA achieves an efficiency over two times higher than SHOA. The best pumping schemes achieved by HOGA can increase water supply by 1.1×103m3/d and 0.47×108m3/a compared with the pumping schemes achieved by GA in the two groundwater management models. This reveals that HOGA has the best global searching ability with the highest optimization efficiency. The results suggest that the HOGA presented in this study be of extensive perspectives in application to multi-dimensional and nonlinear groundwater management and optimization.

Key words: harmonic oscillator genetic algorithm, genetic algorithm, simulated harmonic oscillator algorithm, groundwater management model, global searching ability, optimization efficiency, North China Plain (NCP)

CLC Number: 

  • P641

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