Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines-Reference-Cited by-同舟云学术

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Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines

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:

Frohner Nikolaus¹^ORCID,Raidl Günther¹^ORCID,Chicano Francisco²^ORCID

Affiliation:

1. TU Wien, Vienna, Austria

2. University of Málaga, Málaga, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596381

Reference35 articles.

1. Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers

2. Last-mile delivery concepts: a survey from an operational research perspective

3. Adrian Bracher , Nikolaus Frohner , and Günther R . Raidl . 2021 . Learning Surrogate Functions for the Short-Horizon Planning in Same-Day Delivery Problems. In 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR'21) (LNCS , Vol. 12735), Peter J. Stuckey (Ed.). Springer, 283-- 298 . Adrian Bracher, Nikolaus Frohner, and Günther R. Raidl. 2021. Learning Surrogate Functions for the Short-Horizon Planning in Same-Day Delivery Problems. In 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR'21) (LNCS, Vol. 12735), Peter J. Stuckey (Ed.). Springer, 283--298.

4. Vehicle routing problems with multiple trips

5. Same-day delivery with fair customer service

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