{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WSOHKD43YIOL5IKY7JQMZV2NGW","short_pith_number":"pith:WSOHKD43","canonical_record":{"source":{"id":"2408.14864","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T08:38:17Z","cross_cats_sorted":[],"title_canon_sha256":"f64acc88b832969093b2f99b586ca211bbaa93d0de249d5c242fd6b64e4d1f8e","abstract_canon_sha256":"4e31c1fa9696ef1c5a1662abe82e3dfc88da650ef226086895fe9f22f28f13eb"},"schema_version":"1.0"},"canonical_sha256":"b49c750f9bc21cbea158fa60ccd74d358c38fb6f5941fb4f970df886a14c6fba","source":{"kind":"arxiv","id":"2408.14864","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14864","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14864v1","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14864","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"pith_short_12","alias_value":"WSOHKD43YIOL","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"pith_short_16","alias_value":"WSOHKD43YIOL5IKY","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"pith_short_8","alias_value":"WSOHKD43","created_at":"2026-07-05T08:59:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WSOHKD43YIOL5IKY7JQMZV2NGW","target":"record","payload":{"canonical_record":{"source":{"id":"2408.14864","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T08:38:17Z","cross_cats_sorted":[],"title_canon_sha256":"f64acc88b832969093b2f99b586ca211bbaa93d0de249d5c242fd6b64e4d1f8e","abstract_canon_sha256":"4e31c1fa9696ef1c5a1662abe82e3dfc88da650ef226086895fe9f22f28f13eb"},"schema_version":"1.0"},"canonical_sha256":"b49c750f9bc21cbea158fa60ccd74d358c38fb6f5941fb4f970df886a14c6fba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:59:40.023774Z","signature_b64":"qYO5hbvwuN88ktvcybDIX1hdd4BvybC52XAqrX1Sajrqoh1UYiUnfzQ3hRHj+6vlqwQNoLg1SmKwLWHdPataDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b49c750f9bc21cbea158fa60ccd74d358c38fb6f5941fb4f970df886a14c6fba","last_reissued_at":"2026-07-05T08:59:40.023369Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:59:40.023369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.14864","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:59:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BBE+M8xikaIISd9uYOK/2olLnWEho7+Qb+ikQV/mMuDaOCJNn3+F9bCtvG09wj+6JJfmkLzMRS6niQEMAIIKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T00:25:34.772281Z"},"content_sha256":"8da092bb5d8f3d52abe8a49a72217a2cc75938dc1dfdc32ef1c0b8900c2769d5","schema_version":"1.0","event_id":"sha256:8da092bb5d8f3d52abe8a49a72217a2cc75938dc1dfdc32ef1c0b8900c2769d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WSOHKD43YIOL5IKY7JQMZV2NGW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Amir Pirayesh, Daniele Vigo, Maryam Karimi Mamaghan, Mehrdad Mohammadi, Wout Dullaert","submitted_at":"2024-08-27T08:38:17Z","abstract_excerpt":"This study develops a framework based on reinforcement learning to dynamically manage a large portfolio of search operators within meta-heuristics. Using the idea of tabu search, the framework allows for continuous adaptation by temporarily excluding less efficient operators and updating the portfolio composition during the search. A Q-learning-based adaptive operator selection mechanism is used to select the most suitable operator from the dynamically updated portfolio at each stage. Unlike traditional approaches, the proposed framework requires no input from the experts regarding the search "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14864","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.14864/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:59:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sfxpB0ubQmVSQXJLGTKwH+mHSOUJMjWBAJcZo+gzI3A9tRSkCa5+mQc+dJE2peG0TlDoPzkyBWwMR/848ybrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T00:25:34.772676Z"},"content_sha256":"4253a8a54e083db67f914dc6674b24843bccf1c54057fd838e568b1fbb14fd71","schema_version":"1.0","event_id":"sha256:4253a8a54e083db67f914dc6674b24843bccf1c54057fd838e568b1fbb14fd71"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WSOHKD43YIOL5IKY7JQMZV2NGW/bundle.json","state_url":"https://pith.science/pith/WSOHKD43YIOL5IKY7JQMZV2NGW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WSOHKD43YIOL5IKY7JQMZV2NGW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-24T00:25:34Z","links":{"resolver":"https://pith.science/pith/WSOHKD43YIOL5IKY7JQMZV2NGW","bundle":"https://pith.science/pith/WSOHKD43YIOL5IKY7JQMZV2NGW/bundle.json","state":"https://pith.science/pith/WSOHKD43YIOL5IKY7JQMZV2NGW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WSOHKD43YIOL5IKY7JQMZV2NGW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WSOHKD43YIOL5IKY7JQMZV2NGW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4e31c1fa9696ef1c5a1662abe82e3dfc88da650ef226086895fe9f22f28f13eb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T08:38:17Z","title_canon_sha256":"f64acc88b832969093b2f99b586ca211bbaa93d0de249d5c242fd6b64e4d1f8e"},"schema_version":"1.0","source":{"id":"2408.14864","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.14864","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"arxiv_version","alias_value":"2408.14864v1","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.14864","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"pith_short_12","alias_value":"WSOHKD43YIOL","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"pith_short_16","alias_value":"WSOHKD43YIOL5IKY","created_at":"2026-07-05T08:59:40Z"},{"alias_kind":"pith_short_8","alias_value":"WSOHKD43","created_at":"2026-07-05T08:59:40Z"}],"graph_snapshots":[{"event_id":"sha256:4253a8a54e083db67f914dc6674b24843bccf1c54057fd838e568b1fbb14fd71","target":"graph","created_at":"2026-07-05T08:59:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2408.14864/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study develops a framework based on reinforcement learning to dynamically manage a large portfolio of search operators within meta-heuristics. Using the idea of tabu search, the framework allows for continuous adaptation by temporarily excluding less efficient operators and updating the portfolio composition during the search. A Q-learning-based adaptive operator selection mechanism is used to select the most suitable operator from the dynamically updated portfolio at each stage. Unlike traditional approaches, the proposed framework requires no input from the experts regarding the search ","authors_text":"Amir Pirayesh, Daniele Vigo, Maryam Karimi Mamaghan, Mehrdad Mohammadi, Wout Dullaert","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T08:38:17Z","title":"Dynamic operator management in meta-heuristics using reinforcement learning: an application to permutation flowshop scheduling problems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.14864","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8da092bb5d8f3d52abe8a49a72217a2cc75938dc1dfdc32ef1c0b8900c2769d5","target":"record","created_at":"2026-07-05T08:59:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4e31c1fa9696ef1c5a1662abe82e3dfc88da650ef226086895fe9f22f28f13eb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-27T08:38:17Z","title_canon_sha256":"f64acc88b832969093b2f99b586ca211bbaa93d0de249d5c242fd6b64e4d1f8e"},"schema_version":"1.0","source":{"id":"2408.14864","kind":"arxiv","version":1}},"canonical_sha256":"b49c750f9bc21cbea158fa60ccd74d358c38fb6f5941fb4f970df886a14c6fba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b49c750f9bc21cbea158fa60ccd74d358c38fb6f5941fb4f970df886a14c6fba","first_computed_at":"2026-07-05T08:59:40.023369Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:59:40.023369Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qYO5hbvwuN88ktvcybDIX1hdd4BvybC52XAqrX1Sajrqoh1UYiUnfzQ3hRHj+6vlqwQNoLg1SmKwLWHdPataDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:59:40.023774Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.14864","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8da092bb5d8f3d52abe8a49a72217a2cc75938dc1dfdc32ef1c0b8900c2769d5","sha256:4253a8a54e083db67f914dc6674b24843bccf1c54057fd838e568b1fbb14fd71"],"state_sha256":"8249df0c9750184fc395b66a271e3741f36387573ed8d843a198e9af56fbcbca"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TJF6rT2VwmPlkPv4Nv4ZcpdWbfgxJnDQ8zzKu5xk5chV16PljpwA9Ruj/F8EElzfxhrzLcOeqMFy68KXOvrcCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T00:25:34.776184Z","bundle_sha256":"c900bbe4c2042fc910e94f4aaacd4fda5e15f11fbf625807c563a0b8528471b3"}}