Surrogate-assisted automatic evolving of dispatching rules for multi-objective dynamic job shop scheduling using genetic programming

Author:

Zeiträg YannikORCID,Figueira José Rui,Horta Nuno,Neves Rui

Funder

Fundação para a Ciência e a Tecnologia

Ministério da Ciência, Tecnologia e Ensino Superior

European Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference48 articles.

1. Genetic programming hyper-heuristic for solving dynamic production scheduling problem;Abednego,2011

2. Sequencing rules and due-date assignments in a job shop;Baker;Management Science,1984

3. A state-of-the-art survey of dispatching rules for manufacturing job shop operations;Blackstone;International Journal of Productions Research,1982

4. Automated design of production scheduling heuristics: A review;Branke;IEEE Transactions on Evolutionary Computation,2016

5. Exploring hyper-heuristic methodologies with genetic programming;Burke,2009

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