Multi-objective Multiplexer Decision Making Benchmark Problem-Reference-Cited by-同舟云学术

Multi-objective Multiplexer Decision Making Benchmark Problem

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
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Author:

Djartov Boris¹²^ORCID,Mostaghim Sanaz³^ORCID

Affiliation:

1. German Aerospace Center (DLR), Braunschweig, Germany

2. Otto-von-Guericke-University Magdeburg, Braunschweig, Germany

3. Otto-von-Guericke-University Magdeburg, Magdeburg, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596360

Reference29 articles.

1. Description and First Evaluation of an Approach for a Pilot Decision Support System Based on Multi-attribute Decision Making

2. Thomas Cassimon , Reinout Eyckerman , Siegfried Mercelis , Steven Latré , and Peter Hellinckx . A survey on discrete multi-objective reinforcement learning benchmarks . In Proceedings of the Adaptive and Learning Agents Workshop (ALA 2022) , 2022 . Thomas Cassimon, Reinout Eyckerman, Siegfried Mercelis, Steven Latré, and Peter Hellinckx. A survey on discrete multi-objective reinforcement learning benchmarks. In Proceedings of the Adaptive and Learning Agents Workshop (ALA 2022), 2022.

3. Genetic programming as a means for programming computers by natural selection

4. Scalable Test Problems for Evolutionary Multiobjective Optimization

5. Scalable multi-objective optimization test problems

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