{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:SODCLMBVNNUYD7MVRASPTNWTP4","short_pith_number":"pith:SODCLMBV","schema_version":"1.0","canonical_sha256":"938625b0356b6981fd958824f9b6d37f0040698c109a68568573ac41e04d35f3","source":{"kind":"arxiv","id":"1412.0307","version":1},"attestation_state":"computed","paper":{"title":"Seeding the Initial Population of Multi-Objective Evolutionary Algorithms: A Computational Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Markus Wagner, Tobias Friedrich","submitted_at":"2014-11-30T23:37:11Z","abstract_excerpt":"Most experimental studies initialize the population of evolutionary algorithms with random genotypes. In practice, however, optimizers are typically seeded with good candidate solutions either previously known or created according to some problem-specific method. This \"seeding\" has been studied extensively for single-objective problems. For multi-objective problems, however, very little literature is available on the approaches to seeding and their individual benefits and disadvantages. In this article, we are trying to narrow this gap via a comprehensive computational study on common real-val"},"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":"1412.0307","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2014-11-30T23:37:11Z","cross_cats_sorted":[],"title_canon_sha256":"c90e6cf797107ff5f54476bca5247c5c5b43baaf91e210e6a4749aa39d9349ba","abstract_canon_sha256":"1234dd040af25af6536d5f3882795dc00af5c24de4f3201d5bb3d21a87066cf5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:32:28.111059Z","signature_b64":"lg37Le7W8CnogEnF+/hJjdXr3RpTAaOvhEK2BbGC9k3hb4V44ddrjLJnWaLt35nCMYiJ7AaI3cofM1sI0ZS0Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"938625b0356b6981fd958824f9b6d37f0040698c109a68568573ac41e04d35f3","last_reissued_at":"2026-05-18T02:32:28.110726Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:32:28.110726Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Seeding the Initial Population of Multi-Objective Evolutionary Algorithms: A Computational Study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Markus Wagner, Tobias Friedrich","submitted_at":"2014-11-30T23:37:11Z","abstract_excerpt":"Most experimental studies initialize the population of evolutionary algorithms with random genotypes. In practice, however, optimizers are typically seeded with good candidate solutions either previously known or created according to some problem-specific method. This \"seeding\" has been studied extensively for single-objective problems. For multi-objective problems, however, very little literature is available on the approaches to seeding and their individual benefits and disadvantages. In this article, we are trying to narrow this gap via a comprehensive computational study on common real-val"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.0307","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":"1412.0307","created_at":"2026-05-18T02:32:28.110777+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.0307v1","created_at":"2026-05-18T02:32:28.110777+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.0307","created_at":"2026-05-18T02:32:28.110777+00:00"},{"alias_kind":"pith_short_12","alias_value":"SODCLMBVNNUY","created_at":"2026-05-18T12:28:49.207871+00:00"},{"alias_kind":"pith_short_16","alias_value":"SODCLMBVNNUYD7MV","created_at":"2026-05-18T12:28:49.207871+00:00"},{"alias_kind":"pith_short_8","alias_value":"SODCLMBV","created_at":"2026-05-18T12:28:49.207871+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/SODCLMBVNNUYD7MVRASPTNWTP4","json":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4.json","graph_json":"https://pith.science/api/pith-number/SODCLMBVNNUYD7MVRASPTNWTP4/graph.json","events_json":"https://pith.science/api/pith-number/SODCLMBVNNUYD7MVRASPTNWTP4/events.json","paper":"https://pith.science/paper/SODCLMBV"},"agent_actions":{"view_html":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4","download_json":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4.json","view_paper":"https://pith.science/paper/SODCLMBV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.0307&json=true","fetch_graph":"https://pith.science/api/pith-number/SODCLMBVNNUYD7MVRASPTNWTP4/graph.json","fetch_events":"https://pith.science/api/pith-number/SODCLMBVNNUYD7MVRASPTNWTP4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4/action/storage_attestation","attest_author":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4/action/author_attestation","sign_citation":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4/action/citation_signature","submit_replication":"https://pith.science/pith/SODCLMBVNNUYD7MVRASPTNWTP4/action/replication_record"}},"created_at":"2026-05-18T02:32:28.110777+00:00","updated_at":"2026-05-18T02:32:28.110777+00:00"}