基于负载均衡的免疫遗传算法网格调度研究

将现有基本遗传算法对网格任务调度进行研究，在此基础上提出解决资源负载均衡问题的方案，并对算法的终止条件进行改进。针对改进后的遗传算法可能出现的问题，在算法初始阶段引入免疫原理，利用免疫机制保证种群多样性，使算法能在更快找到最优解的基础上达到一定的负载均衡，最后通过仿真环境对算法进行验证，结果证明改进后的算法有效。

Task Schedule in Grid Based on Load Balance Immune Genetic Algorithm

The grid task scheduling was researched at the basis of study of Genetic algorithm , and the thesis put forward the solution to load balance , and improved the terminate condition of algorithm .According to a series of problems that would occur of the improved genetic algorithm .the paper drew into immunology theory in the initial stage of arithmetic , ensured a variety of population .In this dissertation , the algorithm can find the best solution more quickly and achieve Load balance .Finally , the tests were done for the algorithm through emulate tool , and the results demonstrated the improved algorithm was valid .