SCHEDULING BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM: REVIEW PAPER

Authors

  • Sonal Y. Sangale Department of Computer Science and Engineering RIT, Sakharale, Islampur (Maharashtra), India

Keywords:

Scheduling, Particle swarm optimization

Abstract

Nowadays scheduling problems are raised in areas like industry, academic, health care, production and manufacturing areas and in private sectors also. There are number of modern optimization methods to solve the scheduling problems like GA, TLBO, PSO, and ABC. Particle swarm optimization is one of the latest population based optimization algorithm; it is inspired by the social behavior of nature. This paper gives overview about the scheduling problems solved by using particle swarm optimization algorithm. By reviewing through different author papers, it can be seen that particle swarm optimization gives better performance in terms of time, efficiency and balanced workload, etc.

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Published

2021-03-27

Issue

2016: ICCCES

Section

Articles

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