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在考虑多种约束关系基础上 ,提出一种并行与分布式系统中多约束关系的任务分配与调度的共同进化遗传算法。仿真试验结果表明所给算法比传统单种遗传算法更能有效地进行多任务分配与调度 ,具有一定的工程价值
Based on the consideration of multiple constraints, a co-evolutionary genetic algorithm for task assignment and scheduling with multiple constraints in parallel and distributed systems is proposed. Simulation results show that the proposed algorithm is more efficient and efficient than traditional single genetic algorithm for multi-task allocation and scheduling, and has certain engineering value