吉林大学学报(地球科学版) ›› 2015, Vol. 45 ›› Issue (5): 1485-1492.doi: 10.13278/j.cnki.jjuese.201505203
吴鸣1, 吴剑锋1, 施小清1, 刘杰2, 陈干1, 吴吉春1
Wu Ming1, Wu Jianfeng1, Shi Xiaoqing1, Liu Jie2, Chen Gan1, Wu Jichun1
摘要:
在传统遗传算法和模拟谐振子算法的基础上,结合两者的优点,提出了一种新型快速高效的谐振子遗传算法。通过一个理想的水资源管理模型的算例和一个华北平原典型区地下水资源优化的实际算例,从寻优结果和寻优效率两个方面对谐振子遗传算法、传统遗传算法和模拟谐振子算法进行了对比分析。在两个地下水管理模型中,与传统的遗传算法和模拟谐振子算法相比,新型的谐振子遗传算法搜索效率达到模拟谐振子算法搜索效率的2倍以上,得到的最优解比遗传算法所得到的最优解分别增加供水量1.1×103 m3/d和0.47×108 m3/a,说明谐振子遗传算法具有更强的全局搜索能力和更好的寻优效率。
中图分类号:
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