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Research map / Learning theory and algorithms / Combinatorial and search optimization

A*+BFHS: A Hybrid Heuristic Search Algorithm

AAAI 2022 · Learning theory and algorithms › Combinatorial and search optimization · approach: Heuristic and local search algorithms · 11 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace BFIDA* with A*+BFHS, using an A* frontier followed by multiple BFHS calls ordered deepest-firstheuristic search on hard unit-cost planning instances · 32 hardest IPC planning instancesrunning time: 27 of those 32 instancesHelped
Replace BFIDA* with A*+BFHS, using an A* frontier followed by BFHSheuristic search on hard unit-cost planning instances · 32 hardest IPC planning instancesPeak Stored Nodes: less memory than BFIDA* on 25 of the 32 instancesHelped
Use A*+BFHS instead of A* when memory is constrainedheuristic search on hard unit-cost planning instances · 32 hardest IPC planning instancesrunning time: slower than A*Hurt
Use A*+BFHS instead of A* when memory is constrainedheuristic search on hard unit-cost planning instances · 32 hardest IPC planning instancesPeak Stored Nodes: more than 8 GB of memory on one instanceHelped
Group frontier nodes at multiple depths in each BFHS call, with at most four calls per iteration (ablation)A*+BFHS · 32 hardest IPC planning instancesrunning time: faster by a factor of 3 on logistics00 15-1; 2.5 on rovers 09 and 11; 4.6 on termes18 05; 3.9 on tpp 11Helped
Group frontier nodes at multiple depths instead of calling BFHS on a single depth (ablation)A*+BFHS · 32 hardest IPC planning instancesduplicate nodes generated in previous iterations: at least twice as many nodes on 7 instancesHelped
Group frontier nodes at multiple depths instead of calling BFHS on a single depth (ablation)A*+BFHS · 32 hardest IPC planning instancesPeak Stored Nodes: A*+BFHS (4) stored a larger maximum number of nodes on almost all instancesHurt
Call BFHS on frontier nodes at a single depth rather than grouping adjacent depths (ablation)A*+BFHS · 32 hardest IPC planning instancesnodes generated in the last iteration: A*+BFHS (∞) generated significantly fewer nodes in the last iteration ... on 22 instancesHelped
Call BFHS on frontier nodes at a single depth rather than grouping adjacent depths (ablation)A*+BFHS · 32 hardest IPC planning instancesrunning time: A*+BFHS (4) was faster by a factor of 3 on logistics00 15-1, 2.5 on rovers 09 and 11, 4.6 on termes18 05, 3.9 on tpp 11Mixed
Allow only one BFHS call per iteration (ablation)A*+BFHS · unit-cost searchearly terminationHurt

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