Optimization of task allocation and knowledge workers scheduling based-on particle swarm optimization

Task allocation and knowledge workers scheduling is known as an NP-hard problem. Scientific task allocation and knowledge workers scheduling is an important part of rational human resources management in enterprises. Particle swarm optimization (PSO) has few parameters to adjust and is easy to implement. This paper uses PSO to research task allocation and knowledge workers scheduling. Particle swarm optimization can obtain better results in a faster and cheaper way compared with other stochastic methods. And the results show that particle swarm optimization is a scientific and efficient method to solve task allocation and knowledge workers scheduling.

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