Extending Weighted Heuristic Search to Bi-Objective Search Problems
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 6291-6298.
https://doi.org/10.24963/ijcai.2026/700
Keywords
- Search: Heuristic search
- Search: Combinatorial search and optimisation
Abstract
In heuristic search, a well-known technique to speed up search while providing a suboptimality guarantee is to multiply the heuristic function by a weight w > 1. In this paper, we study the theoretical and practical implications of using such a technique in bi-objective heuristic search, a natural academic exercise that has remained unexplored. We introduce Weighted BOA∗ϵ (WBOA∗
ϵ ), a weighted version of the BOA* algorithm, which uses two real parameters: a weight w for the heuristic and an approximation factor ϵ. Higher values of w and ϵ allow for faster computation of approximate Pareto-optimal solution sets. We prove that WBOA∗ ϵ returns a representative solution set containing (w − 1, ϵ)-approximate solutions. We empirically compare it to A*pex, the state-of-the-art approximate bi-objective search algorithm. We find that WBOA∗ ϵ is competitive with A*pex: when using perfect heuristic functions, in road maps WBOA∗ϵ is faster for higher approximation factors, while in grid maps WBOA∗ϵ dominates A*pex. With imperfect heuristic functions, WBOA∗ϵ performs better than A*pex for lower approximation factors, while the opposite is true for larger approximation factors.
@inproceedings{ijcai2026p700,
title = {Extending Weighted Heuristic Search to Bi-Objective Search Problems},
author = {Kühn Leiva, Hans and Baier, Jorge A. and Hernandez Ulloa, Carlos and Salzman, Oren and Felner, Ariel and Koenig, Sven},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {6291--6298},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/700},
url = {https://doi.org/10.24963/ijcai.2026/700},
}
TY - CPAPER TI - Extending Weighted Heuristic Search to Bi-Objective Search Problems AU - Kühn Leiva, Hans AU - Baier, Jorge A. AU - Hernandez Ulloa, Carlos AU - Salzman, Oren AU - Felner, Ariel AU - Koenig, Sven T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 6291 EP - 6298 DO - 10.24963/ijcai.2026/700 UR - https://doi.org/10.24963/ijcai.2026/700 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: