A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem

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Title

A Computational Study of Representations in Genetic Programming to Evolve Dispatching Rules for the Job Shop Scheduling Problem

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Description

Designing effective dispatching rules is an important factor for many manufacturing systems. However, this time-consuming process has been performed manually for a very long time. Recently, some machine learning approaches have been proposed to support this task. In this paper, we investigate the use of genetic programming for automatically discovering new dispatching rules for the single objective job shop scheduling problem (JSP). Different representations of the dispatching rules in the li...

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Other

Date created

26 Oct, 2020

Creator

S Nguyen / Mengjie Zhang / M Johnston / K Chen Tan

URL

https://figshare.com/articles/journal_contribution/A_Computational_Study_of_Representations_in_Ge...

Related subjects

Artificial Intelligence & Image Processing / Electrical and Electronic Engineering / Information Systems / Artificial Intelligence and Image Processing

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