Abstract
In this chapter, a new integration model and a modified genetic algorithm based approach have been developed to facilitate the integration and optimization of the two functions. In the model, process planning and scheduling functions are carried out simultaneously. In order to improve the optimized performance of the modified genetic algorithm based approach, more efficient genetic representations and operator schemes have been developed. Experimental studies have been conducted and the comparisons have been made between this approach and others to indicate the superiority and adaptability of this method. The experimental results show that the proposed approach is a promising and very effective method for the integration of process planning and scheduling.
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© 2020 Springer-Verlag GmbH Germany, part of Springer Nature and Science Press, Beijing
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Li, X., Gao, L. (2020). A Modified Genetic Algorithm Based Approach for IPPS. In: Effective Methods for Integrated Process Planning and Scheduling. Engineering Applications of Computational Methods, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-55305-3_11
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DOI: https://doi.org/10.1007/978-3-662-55305-3_11
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