【摘要】 针对模拟退火算法串行优化能力差的问题,将具有并行搜索能力的遗传算法,用于引入到模拟退火算法中,并将两者结合组成遗传模拟退火算法,用于求解含水层参数反演的优化问题。遗传模拟退火算法充分发挥了遗传算法和模拟退火算法的优点,是一种优化能力更强、更高效、可靠性较高的优化方法。实际算例表明,遗传模拟退火算法用于含水层参数反演是可行的。更多还原

【Abstract】 Considering the poor serial optimization ability of simulation-annealing algorithm,the genetic algorithm,which can make parallel searching,is introduced into it.This genetic-simulated-annealing algorithm was applied into seeking aquifer parameters.The combination strategy inherits the advantages of genetic algorithm and simulation-annealing algorithm,which improving the searching ability and overcoming the shortcomings of these two algorithms.Therefore,it’s a preferable algorithm having better optimization ability,higher efficiency and reliability.Application of the hybrid method in practice shows that the proposed method is applicable to hydro-geological parameters identification.更多还原