Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise-Reference-Cited by-同舟云学术

Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
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Author:

Zhao Ying¹,Hemberg Erik²,Derbinsky Nate³,Mata Gabino⁴,O'Reilly Una-May²

Affiliation:

1. Naval Postgraduate School

2. MIT

3. Northeastern University

4. United States Marine Corps

Funder

Naval Postgraduate School (NPS)?s Naval Research Program (NRP), Office of Naval Research (ONR)?s Naval Enterprise Partnership Teaming with Universities for National Excellence (NEPTUNE 2.0), United States Air Force Research Laboratory and the United States Air Force Artificial Intelligence Accelerator

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520304.3528990

Reference7 articles.

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2. Adopting co-evolution and constraint-satisfaction concept on genetic algorithms to solve supply chain network design problems

3. Torsten Hildebrandt and Jürgen Branke . 2015. On using surrogates with genetic programming. Evolutionary computation 23, 3 ( 2015 ), 343--367. Torsten Hildebrandt and Jürgen Branke. 2015. On using surrogates with genetic programming. Evolutionary computation 23, 3 (2015), 343--367.

4. Solving complex problems with coevolutionary algorithms

5. John E Laird . 2019. The Soar cognitive architecture . MIT press . John E Laird. 2019. The Soar cognitive architecture. MIT press.