A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem

@inproceedings{Wang2009AMG,
  title={A multi-objective genetic algorithm based on immune and entropy principle for flexible job-shop scheduling problem},
  author={Xiaojuan Wang and Liang Gao and Chaoyong Zhang and Xinyu Shao},
  year={2009}
}
Flexible job-shop scheduling problem (FJSP) is an extended traditional job-shop scheduling problem, which more approximates to practical scheduling problems. This paper presents a multi-objective genetic algorithm (MOGA) based on immune and entropy principle to solve the multiobjective FJSP. In this improved MOGA, the fitness scheme based on Pareto-optimality is applied, and the immune and entropy principle is used to keep the diversity of individuals and overcome the problem of premature… CONTINUE READING
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