Multi-objective optimization of production scheduling with evolutionary computation: A review

• Main Authors: Robert Ojstersek, Miran Brezocnik, Borut Buchmeister
• Format: Article
• Language: English
• Published: Growing Science 2020-03-01
• Series: International Journal of Industrial Engineering Computations
• Subjects: multi-objective optimization; production scheduling; evolutionary computation
• Online Access: http://www.growingscience.com/ijiec/Vol11/IJIEC_2020_4.pdf

Multi-Objective (MO) optimization is a well-known research field with respect to the complexity of production planning and scheduling. In recent years, many different Evolutionary Computation (EC) methods have been applied successfully to MO production planning and scheduling. This paper is focused on making a review of MO production scheduling methods, starting from production scheduling presentation, notation and classification. The research field of EC methods is presented, then EC algorithms` classification is introduced for the purpose of production scheduling optimization. As a main goal, MO optimization is focused on hybrid EC methods, and presenting their advantages and limitations. Finally, a survey of five scientific databases is presented, with the analysis of the scientific publications the terminology development of the scientific field is presented. Using the citation analysis of the scientific publications, the application for the MO optimization in manufacturing scheduling is discussed.