pith:OKO5STVF
Domain-Independent Dynamic Programming with Constraint Propagation
Integrating a general-purpose CP solver into domain-independent dynamic programming prunes states and solves more scheduling instances.
arxiv:2603.16648 v2 · 2026-03-17 · cs.AI
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Record completeness
Claims
constraint propagation significantly reduces the number of state expansions, causing our approach to solve more instances than a DP solver for Single Machine Scheduling and RCPSP, and showing similar improvements for tightly constrained TSPTW instances
The overhead of calling a general-purpose CP solver inside the DP loop remains acceptable relative to the pruning gains for the tested problem classes and instance sizes.
Integrating general-purpose constraint propagation into domain-independent dynamic programming reduces state expansions and solves more instances on scheduling and TSP problems.
Cited by
Receipt and verification
| First computed | 2026-06-19T16:12:53.164409Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
729dd94ea52ad5da1d373ea2b1780563c0ff9ecded0858da7e91fceec650623c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OKO5STVFFLK5UHJXH2RLC6AFMP \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 729dd94ea52ad5da1d373ea2b1780563c0ff9ecded0858da7e91fceec650623c
Canonical record JSON
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