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Title: Bounded-Cost Bi-Objective Heuristic Search [Short Paper]
There are many settings that extend the basic shortest-path search problem. In Bounded-Cost Search, we are given a constant bound, and the task is to find a solution within the bound. In Bi-Objective Search, each edge is associated with two costs (objectives), and the task is to minimize both objectives. In this paper, we combine both settings into a new setting of Bounded-Cost Bi-Objective Search. We are given two bounds, one for each objective, and the task is to find a solution within these bounds. We provide a scheme for normalizing the two objectives, introduce several algorithms for this new setting and compare them experimentally.  more » « less
Award ID(s):
2121028
NSF-PAR ID:
10350233
Author(s) / Creator(s):
; ; ; ; ; ; ;
Date Published:
Journal Name:
Proceedings of the Symposium on Combinatorial Search (SoCS)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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