Evolving Dispatching Rules for Dynamic Job Shop Scheduling Problems using Genetic Programming

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Title

Evolving Dispatching Rules for Dynamic Job Shop Scheduling Problems using Genetic Programming

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

Job shop scheduling (JSS) problems are difficult combinatorial optimisation problems that have been studied over the past 60 years. The goal of a JSS problem is to schedule the arriving jobs as effectively as possible on the limited machine resources on the shop floor. Each job has a sequence of operations that need to be processed on specific machines, but the machines can only process one job at a time. JSS and other types of scheduling are important problems in manufacturing systems, such ...

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Format

Research paper

Research format

Scholarly text / Thesis

Thesis level

Doctoral

Date created

2019

Creator

Park, John

URL

https://figshare.com/articles/thesis/Evolving_Dispatching_Rules_for_Dynamic_Job_Shop_Scheduling_P...

Related subjects

Evolutionary computation / Fuzzy computation / Modelling and simulation / Operations research / Genetic programming / Dynamic job shop scheduling / Hyper-heuristics / DJSS / School: School of Engineering and Computer Science / Unit: Engineering at Victoria / Simulation and Modelling / Neural, Evolutionary and Fuzzy Computation / Operations Research / Expanding Knowledge in the Information and Computing Sciences / Degree Discipline: Computer Science / Degree Level: Doctoral / Degree Name: Doctor of Philosophy

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