ALEPS: The Automated Logistics Element Planning System
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Videos. Pages 1706--1.
Abstract
Space Station Freedom, an international, permanently manned orbiting scientific research platform, will be periodically resupplied using NASA's fleet of space shuttles. Each shuttle will transport cargo carriers to and from the Station, packed with experiment payloads, crew supplies, and spare parts. The Automated Logistics Element Planning System (ALEPS) will help produce near-optimal configurations for these carriers, maximizing the efficiency of this complex logistics system.
Rodney S. Daughtrey, and David Michael Brady. 1993. ALEPS: The Automated Logistics Element Planning System. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93. IJCAI, 1706–-1. https://ijcai.org/proceedings/1993/240
Daughtrey, R. S., & Brady, D. M. (1993). ALEPS: The Automated Logistics Element Planning System. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 (pp. 1706–-1). IJCAI. https://ijcai.org/proceedings/1993/240
@inproceedings{ijcai1993p240,
title = {ALEPS: The Automated Logistics Element Planning System},
author = {Daughtrey, Rodney S. and Brady, David Michael},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {1706---1},
year = {1993},
note = {Videos},
url = {https://ijcai.org/proceedings/1993/240},
}
TY - CPAPER TI - ALEPS: The Automated Logistics Element Planning System AU - Daughtrey, Rodney S. AU - Brady, David Michael T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 1706 EP - -1 UR - https://ijcai.org/proceedings/1993/240 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: