采用混沌粒子群算法解决多执行模式资源受限项目调度问题(MRCPSP),先生成第一代执行模式链表,然后定义由工序随机生成的一组数为优先规则链表,由逆向迭代的串行进度生成机制形成最优解,结合混沌理论,在粒子群算法的基础上,更新粒子。并运用遗传的思想生成新子代的方式更新执行模式链表,计算并保留最优调度的模式。对库里的算例进行验算,结果证明了这种方法是有效的。 The problem of multi-execution resource constrained project scheduling (MRCPSP) is solved by the chaos particle swarm optimization algorithm. First, the first generation execution pattern list is generated. Then a set of random numbers generated by the process is defined as the priority rule list, Generate mechanisms to form the optimal solution, combined with chaos theory, based on Particle Swarm Optimization, update the particles. And use genetic thinking to generate a new generation of ways to update the execution mode list, calculate and retain the optimal scheduling mode. Checking the examples in the library, the results prove that this method is effective.