{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:V32ZZEH3Z47HWJT6CRAXURZYIJ","short_pith_number":"pith:V32ZZEH3","schema_version":"1.0","canonical_sha256":"aef59c90fbcf3e7b267e14417a4738424a20813acb4cc773089bd5c946d04fba","source":{"kind":"arxiv","id":"1805.01221","version":2},"attestation_state":"computed","paper":{"title":"Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Dirk Sudholt, Edgar Covantes Osuna, Frank Neumann, Wanru Gao","submitted_at":"2018-05-03T11:05:34Z","abstract_excerpt":"Parent selection in evolutionary algorithms for multi-objective optimisation is usually performed by dominance mechanisms or indicator functions that prefer non-dominated points. We propose to refine the parent selection on evolutionary multi-objective optimisation with diversity-based metrics. The aim is to focus on individuals with a high diversity contribution located in poorly explored areas of the search space, so the chances of creating new non-dominated individuals are better than in highly populated areas. We show by means of rigorous runtime analysis that the use of diversity-based pa"},"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":"1805.01221","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-05-03T11:05:34Z","cross_cats_sorted":[],"title_canon_sha256":"ef1b327112d8be3e78af6f86a45993cf31287b5af7499e73157a78fa32de02b3","abstract_canon_sha256":"457bc27ee1493255ba90e2e4983777e601f67ce9dd9362e3f17730ae48fb759d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:39.973712Z","signature_b64":"6ULKVAyH/RZJAMV0VTkwPz3zNk64pBNPECO0eYuwnGBXDW71//EM33t2jGror2YUoH/BXqB2LRN1cOWZzbqgDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aef59c90fbcf3e7b267e14417a4738424a20813acb4cc773089bd5c946d04fba","last_reissued_at":"2026-05-18T00:06:39.973331Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:39.973331Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Dirk Sudholt, Edgar Covantes Osuna, Frank Neumann, Wanru Gao","submitted_at":"2018-05-03T11:05:34Z","abstract_excerpt":"Parent selection in evolutionary algorithms for multi-objective optimisation is usually performed by dominance mechanisms or indicator functions that prefer non-dominated points. We propose to refine the parent selection on evolutionary multi-objective optimisation with diversity-based metrics. The aim is to focus on individuals with a high diversity contribution located in poorly explored areas of the search space, so the chances of creating new non-dominated individuals are better than in highly populated areas. We show by means of rigorous runtime analysis that the use of diversity-based pa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.01221","kind":"arxiv","version":2},"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":"1805.01221","created_at":"2026-05-18T00:06:39.973387+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.01221v2","created_at":"2026-05-18T00:06:39.973387+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.01221","created_at":"2026-05-18T00:06:39.973387+00:00"},{"alias_kind":"pith_short_12","alias_value":"V32ZZEH3Z47H","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_16","alias_value":"V32ZZEH3Z47HWJT6","created_at":"2026-05-18T12:32:56.356000+00:00"},{"alias_kind":"pith_short_8","alias_value":"V32ZZEH3","created_at":"2026-05-18T12:32:56.356000+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/V32ZZEH3Z47HWJT6CRAXURZYIJ","json":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ.json","graph_json":"https://pith.science/api/pith-number/V32ZZEH3Z47HWJT6CRAXURZYIJ/graph.json","events_json":"https://pith.science/api/pith-number/V32ZZEH3Z47HWJT6CRAXURZYIJ/events.json","paper":"https://pith.science/paper/V32ZZEH3"},"agent_actions":{"view_html":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ","download_json":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ.json","view_paper":"https://pith.science/paper/V32ZZEH3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.01221&json=true","fetch_graph":"https://pith.science/api/pith-number/V32ZZEH3Z47HWJT6CRAXURZYIJ/graph.json","fetch_events":"https://pith.science/api/pith-number/V32ZZEH3Z47HWJT6CRAXURZYIJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ/action/storage_attestation","attest_author":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ/action/author_attestation","sign_citation":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ/action/citation_signature","submit_replication":"https://pith.science/pith/V32ZZEH3Z47HWJT6CRAXURZYIJ/action/replication_record"}},"created_at":"2026-05-18T00:06:39.973387+00:00","updated_at":"2026-05-18T00:06:39.973387+00:00"}