Optimal Water Resources Allocation of Lakefront River Network Region Based on Coevolutionary Genetic Algorithm
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Abstract:
Coevolutionary genetic algorithm is a kind of GA based on multi-population’s concurrent evolution, which is more suitable for solving the complex optimization problems because multi-population can better correspond to objects of different nature. Lakefront river network region has the patterns of interlaced streams, multiple water sources, and complex water supply relationship, which brings more difficulties to the optimal water resources allocation. An optimal water resources allocation model was established base on the coevolutionary genetic algorithm combined with water demand coefficients to allocate water resources in Sihong County near the Hongze Lake. The results showed that the multi-population pattern of coevolutionary genetic algorithm can handle the difficulties in the optimal water resources allocation of lakefront river network region. The results were reasonable, indicating good applicability of coevolutionary genetic algorithm and therefore realizing the highly efficient utilization of water resources.
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