摘要
针对某市水资源优化配置模型的多目标、非线性特点,提出大系统总体优化的遗传算法求解方法。遗传算法构造中,对连续变量离散化采用浮点数级联编码;依据精确不可微罚函数法,构建个体适应度评价函数;将模拟退火算法与遗传算法相结合,探讨了基于模拟退火的混合遗传算法在水资源优化配置中的实际应用。实例表明,混合遗传算法是解决水资源优化配置多目标、非线性问题的有效途径。
An optimal allocation model of multi-objective and nonlinear water resources characteristic is established and solved with the method of large-scale general optimization Genetic Algorithms(GA). GA is constructed with floating-point coding method and continuous variables discretization. The fitness function is given based on undifferentiable publishing function. The application of Hybrid Genetic Algorithm based on Simulated Annealing (SHGA) is studied on water resources optimization. The results analysis proves that SHGA is an effective way to solve the multi-objective nonlinear problem of water resourcesoptimization.
出处
《水电能源科学》
2005年第5期22-25,共4页
Water Resources and Power
关键词
水资源
优化配置
遗传算法
模拟退火
多目标
非线性
water resources
optimal allocation
genetic algorithms
simulated annealing
multi-objective
nonlinear
