A state of the art review of intelligent scheduling

作者:Mohammad Hossein Fazel Zarandi, Ali Akbar Sadat Asl, Shahabeddin Sotudian, Oscar Castillo

摘要

Intelligent scheduling covers various tools and techniques for successfully and efficiently solving the scheduling problems. In this paper, we provide a survey of intelligent scheduling systems by categorizing them into five major techniques containing fuzzy logic, expert systems, machine learning, stochastic local search optimization algorithms and constraint programming. We also review the application case studies of these techniques.

论文关键词:Intelligent scheduling, Fuzzy logic, Expert system, Machine learning, Stochastic local search optimization algorithms, Constraint programming

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论文官网地址:https://doi.org/10.1007/s10462-018-9667-6