A Multiobjective Frontier Search Algorithm
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2340-2344.
Abstract
The paper analyzes the extension of frontier search to the multiobjective framework. A frontier multiobjective A* search algorithm is developed, some formal properties are presented, and its performance is compared to those of other multiobjective search algorithms. The new algorithm is adequate for both monotone and non-monotone heuristics.
Lawrence Mandow, and José-Luis Pérez-de-la-Cruz. 2007. A Multiobjective Frontier Search Algorithm. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07. IJCAI, 2340–2344. https://ijcai.org/proceedings/2007/377
Mandow, L., & Pérez-de-la-Cruz, J. (2007). A Multiobjective Frontier Search Algorithm. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 (pp. 2340–2344). IJCAI. https://ijcai.org/proceedings/2007/377
@inproceedings{ijcai2007p377,
title = {A Multiobjective Frontier Search Algorithm},
author = {Mandow, Lawrence and Pérez-de-la-Cruz, José-Luis},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2340--2344},
year = {2007},
url = {https://ijcai.org/proceedings/2007/377},
}
TY - CPAPER TI - A Multiobjective Frontier Search Algorithm AU - Mandow, Lawrence AU - Pérez-de-la-Cruz, José-Luis T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2340 EP - 2344 UR - https://ijcai.org/proceedings/2007/377 ER -Copied
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