这个案例是免疫遗传算法在物流配送中心选址中的运用，运行环境为matlab2014a-This case is immune genetic algorithm in logistics distribution center location of use, the operating environment for the matlab2014a

这是遗传算法与模拟退火法相结合解决聚类问题的一个实用方法，具有较强的实用性-This is a genetic algorithm and simulated annealing Combination of a practical solution to the problem of clustering, with a strong practical

这是一个有效避免遗传算法早熟问题的函数优化方法，通过移民算子联系个种群，实现各种群的协同进化-This is an effective way to avoid the problem of premature genetic algorithm function optimization method, the sub-contact populations through migration operator, to achieve a variety of co-evolution gro

遗传算法有较强的问题解决能力，这个地方用他解决车间调度问题(Genetic algorithm has a strong problem solving ability, this place uses it to solve the job shop scheduling problem)

改进的粒子群优化克里金模型，普通的克里金模型MATLAB数据包与遗传算法的结合(Improved particle swarm optimization model of Kriging, Kriging model MATLAB data packet and genetic algorithm combined with the general of the)