אריאל פלנר

אקדמי בכיר

Deeper Treatment of the Bi-objective Search Framework

Shawn Skyler, Dor Atzmon, Ariel Felner, Oren Salzman, Carlos Hernández Ulloa, Sven Koenig

In Bi-Objective Search (BOS), the task is to compute the Pareto-optimal frontier of paths in a graph with two cost values per edge. Recent work introduced a general BOS framework that classifies search nodes and studies how ordering functions affect expansion order. In this paper, we continue this line of research. We further refine the classes of nodes and show that many nodes that were added to the open list and are classified as never-expand nodes still need to be extracted and further examined. Additionally, we introduce a method that enables constant-time dominance checks for the MI N and MA X ordering functions. This allows a practical usage of these ordering functions, as we demonstrate in our experimental section.

שפת פרסום אנגלית
דפים 37170-37177
סטטוס פרסום פורסם - 01.01.2026

ASJC Scopus subject areas

Artificial Intelligence
גישה למסמך
10.1609/aaai.v40i43.41047
קבצים וקישורים אחרים
Link to publication in Scopus