中文摘要：

针对多核处理器系统的特点，对任务分配及调度模型进行改进，提高各处理器相对均衡负载度，并在此基础上提出一种均衡种群遗传算法（BPGA）．算法在任务节点的高度约束条件下，达到任务节点在处理核上随机分配，而任务节点数均衡分配．采用随机生成图法进行模拟实验，与其他算法相比，BPGA算法有更小的调度长度和较少的执行时间．

英文摘要：

According to the characteristics of multi-core processor system, this paper improves task allocation and scheduling model to improve the relative balance of the load on the processors, and puts forward a balanced popula- tion genetic algorithm （BPGA）. The algorithm under the constraints of the height of task nodes can allocate task nodes randomly and the number of nodes balanced on each processing core. The experiment used randomly generated DAG graph, compared with other algorithms, the BPGA has less makespan and less execution time.