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cs.AI2026
Bridging Multi-Valued Heuristics and Dimensionality Reduction in Multi-Objective Search
Maya Wolff, Ariel Felner, Oren Salzman
Multi-objective shortest-path (MOSP) algorithms traditionally rely on single-valued heuristics (SVHs), which associate each state with a single admissible cost vector. While SVHs p…
cs.AI2026
Bridging the Evaluation Gap: Standardized Benchmarks for Multi-Objective Search
Hadar Peer, Carlos Hernandez, Sven Koenig +2
Empirical evaluation in multi-objective search (MOS) has historically suffered from fragmentation, relying on heterogeneous problem instances with incompatible objective definition…