{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:RTYU3FN5AOWZUG6XCE4DBMV42J","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":"a5691ae977e51989f5839f673c4bd4563708921afe64b231ee36f416a27974fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-12-19T09:49:28Z","title_canon_sha256":"99a00edfd9e2ea298cca68d918efc60791fcc2b8d59c683a69a696dcad4e173a"},"schema_version":"1.0","source":{"id":"1612.06093","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.06093","created_at":"2026-05-18T00:30:17Z"},{"alias_kind":"arxiv_version","alias_value":"1612.06093v2","created_at":"2026-05-18T00:30:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06093","created_at":"2026-05-18T00:30:17Z"},{"alias_kind":"pith_short_12","alias_value":"RTYU3FN5AOWZ","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RTYU3FN5AOWZUG6X","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RTYU3FN5","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:aa3dee207021d933c376ed7dacbf8306799e8b3800f7997eda94adfa23de6c54","target":"graph","created_at":"2026-05-18T00:30:17Z","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"},"paper":{"abstract_excerpt":"One of the major distinguishing features of the dynamic multiobjective optimization problems (DMOPs) is the optimization objectives will change over time, thus tracking the varying Pareto-optimal front becomes a challenge. One of the promising solutions is reusing the \"experiences\" to construct a prediction model via statistical machine learning approaches. However most of the existing methods ignore the non-independent and identically distributed nature of data used to construct the prediction model. In this paper, we propose an algorithmic framework, called Tr-DMOEA, which integrates transfe","authors_text":"Gary G. Yen, Liming Qiu, Min Jiang, Wenzhen Huang, Zhongqiang Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-12-19T09:49:28Z","title":"Transfer Learning based Dynamic Multiobjective Optimization Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06093","kind":"arxiv","version":2},"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":"sha256:3979c3428101f90759d091816a55d5ca89174a6a3e21b9ac4dbf9a82a0d826ea","target":"record","created_at":"2026-05-18T00:30:17Z","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":"a5691ae977e51989f5839f673c4bd4563708921afe64b231ee36f416a27974fc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2016-12-19T09:49:28Z","title_canon_sha256":"99a00edfd9e2ea298cca68d918efc60791fcc2b8d59c683a69a696dcad4e173a"},"schema_version":"1.0","source":{"id":"1612.06093","kind":"arxiv","version":2}},"canonical_sha256":"8cf14d95bd03ad9a1bd7113830b2bcd27a126860922221691c3cafcc8be25481","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8cf14d95bd03ad9a1bd7113830b2bcd27a126860922221691c3cafcc8be25481","first_computed_at":"2026-05-18T00:30:17.325376Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:30:17.325376Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oF0Gx32Cu3TJpsOB1euIfcIiPkHSwVHgYzQCM4+aXYCW5Pb0Op09e0SB/LYyJeTWvlz2P1jqE+9BALw4HFRkAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:30:17.326128Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.06093","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3979c3428101f90759d091816a55d5ca89174a6a3e21b9ac4dbf9a82a0d826ea","sha256:aa3dee207021d933c376ed7dacbf8306799e8b3800f7997eda94adfa23de6c54"],"state_sha256":"5f95ddf6e6b1e7554029a5ac89f06192c2f5959a10ae936c529ded0b4b01688f"}