A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems-Reference-Cited by-同舟云学术

A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems

Published:2022-01 Issue: Volume:243 Page:108342
ISSN:0925-5273
Container-title:International Journal of Production Economics
language:en
Short-container-title:International Journal of Production Economics

Author:

Braune Roland,Benda Frank,Doerner Karl F.,Hartl Richard F.

Funder

Bundesministerium für Digitalisierung und Wirtschaftsstandort

Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung

Christian Doppler Forschungsgesellschaft

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Economics and Econometrics,General Business, Management and Accounting

Reference38 articles.

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3. Routing and scheduling in a flexible job shop by tabu search;Brandimarte;Ann. Oper. Res.,1993

4. Hyper-heuristic evolution of dispatching rules: a comparison of rule representations;Branke;Evol. Comput.,2015

5. An integrated approach for modeling and solving the general multiprocessor job-shop scheduling problem using tabu search;Dauzère-Pérès;Ann. Oper. Res.,1997

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