{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:BUAHXHCE7JVI5Z75SAFGXTUYZS","short_pith_number":"pith:BUAHXHCE","schema_version":"1.0","canonical_sha256":"0d007b9c44fa6a8ee7fd900a6bce98cca493b130e8b4b455c0f7a4bb624270a3","source":{"kind":"arxiv","id":"1409.5719","version":1},"attestation_state":"computed","paper":{"title":"Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Arnaud Liefooghe (INRIA Lille - Nord Europe, LIFL), Manuel L\\'opez-Ib\\'a\\~nez (IRIDIA), S\\'ebastien Verel (LISIC)","submitted_at":"2014-09-19T16:44:40Z","abstract_excerpt":"The properties of local optimal solutions in multi-objective combinatorial optimization problems are crucial for the effectiveness of local search algorithms, particularly when these algorithms are based on Pareto dominance. Such local search algorithms typically return a set of mutually nondominated Pareto local optimal (PLO) solutions, that is, a PLO-set. This paper investigates two aspects of PLO-sets by means of experiments with Pareto local search (PLS). First, we examine the impact of several problem characteristics on the properties of PLO-sets for multi-objective NK-landscapes with cor"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1409.5719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2014-09-19T16:44:40Z","cross_cats_sorted":[],"title_canon_sha256":"6bbbef4128e5f220361a465ed398e6bb14a64a545e30329b09ec2aa4777179f8","abstract_canon_sha256":"68b25807a44bd3c7f04ac3c881534cab6f556a66b91f7d8e4c438b786c37ee50"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:42:26.528107Z","signature_b64":"PoVJ8GQvzPIlY0LFb+RIArkUbty/0ZXD1GVX59auF9qgKFxQM1EH9OUIVxjWfIpMRJyYzhJ5H5FdLeAG1paZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d007b9c44fa6a8ee7fd900a6bce98cca493b130e8b4b455c0f7a4bb624270a3","last_reissued_at":"2026-05-18T02:42:26.527644Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:42:26.527644Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Arnaud Liefooghe (INRIA Lille - Nord Europe, LIFL), Manuel L\\'opez-Ib\\'a\\~nez (IRIDIA), S\\'ebastien Verel (LISIC)","submitted_at":"2014-09-19T16:44:40Z","abstract_excerpt":"The properties of local optimal solutions in multi-objective combinatorial optimization problems are crucial for the effectiveness of local search algorithms, particularly when these algorithms are based on Pareto dominance. Such local search algorithms typically return a set of mutually nondominated Pareto local optimal (PLO) solutions, that is, a PLO-set. This paper investigates two aspects of PLO-sets by means of experiments with Pareto local search (PLS). First, we examine the impact of several problem characteristics on the properties of PLO-sets for multi-objective NK-landscapes with cor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.5719","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1409.5719","created_at":"2026-05-18T02:42:26.527700+00:00"},{"alias_kind":"arxiv_version","alias_value":"1409.5719v1","created_at":"2026-05-18T02:42:26.527700+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.5719","created_at":"2026-05-18T02:42:26.527700+00:00"},{"alias_kind":"pith_short_12","alias_value":"BUAHXHCE7JVI","created_at":"2026-05-18T12:28:22.404517+00:00"},{"alias_kind":"pith_short_16","alias_value":"BUAHXHCE7JVI5Z75","created_at":"2026-05-18T12:28:22.404517+00:00"},{"alias_kind":"pith_short_8","alias_value":"BUAHXHCE","created_at":"2026-05-18T12:28:22.404517+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS","json":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS.json","graph_json":"https://pith.science/api/pith-number/BUAHXHCE7JVI5Z75SAFGXTUYZS/graph.json","events_json":"https://pith.science/api/pith-number/BUAHXHCE7JVI5Z75SAFGXTUYZS/events.json","paper":"https://pith.science/paper/BUAHXHCE"},"agent_actions":{"view_html":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS","download_json":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS.json","view_paper":"https://pith.science/paper/BUAHXHCE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1409.5719&json=true","fetch_graph":"https://pith.science/api/pith-number/BUAHXHCE7JVI5Z75SAFGXTUYZS/graph.json","fetch_events":"https://pith.science/api/pith-number/BUAHXHCE7JVI5Z75SAFGXTUYZS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS/action/storage_attestation","attest_author":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS/action/author_attestation","sign_citation":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS/action/citation_signature","submit_replication":"https://pith.science/pith/BUAHXHCE7JVI5Z75SAFGXTUYZS/action/replication_record"}},"created_at":"2026-05-18T02:42:26.527700+00:00","updated_at":"2026-05-18T02:42:26.527700+00:00"}