{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:TE3A26ZHOQ3UVCSQGDDULK3HUB","short_pith_number":"pith:TE3A26ZH","schema_version":"1.0","canonical_sha256":"99360d7b2774374a8a5030c745ab67a0505aa140feeb9b424be08e80af68ee54","source":{"kind":"arxiv","id":"2201.10316","version":2},"attestation_state":"computed","paper":{"title":"Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Aneta Neumann, Anh Viet Do, Frank Neumann, Mingyu Guo","submitted_at":"2022-01-25T13:40:27Z","abstract_excerpt":"In this work, we consider the problem of finding a set of tours to a traveling salesperson problem (TSP) instance maximizing diversity, while satisfying a given cost constraint. This study aims to investigate the effectiveness of applying niching to maximize diversity rather than simply maintaining it. To this end, we introduce a 2-stage approach where a simple niching memetic algorithm (NMA), derived from a state-of-the-art for multi-solution TSP, is combined with a baseline diversifying algorithm. The most notable feature of the proposed NMA is the use of randomized improvement-first local s"},"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":"2201.10316","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2022-01-25T13:40:27Z","cross_cats_sorted":[],"title_canon_sha256":"2ed5587014eca59bca96f50ded05157bd878481e0f95ec3f048c542a87dc6ab6","abstract_canon_sha256":"9e032a7beeb33f01a1171262b6df92a91879ad71ea3fa37a1725ba04cf32fe09"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:15:29.047448Z","signature_b64":"QyG4tPqRpELQRWj2SHWM76zEoRj0h9qS05dcu+SRmYDSayNU9POvM9BF1AYpXPUX5aeGUbD3IstvzGMeLUE8Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99360d7b2774374a8a5030c745ab67a0505aa140feeb9b424be08e80af68ee54","last_reissued_at":"2026-07-05T04:15:29.047038Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:15:29.047038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Aneta Neumann, Anh Viet Do, Frank Neumann, Mingyu Guo","submitted_at":"2022-01-25T13:40:27Z","abstract_excerpt":"In this work, we consider the problem of finding a set of tours to a traveling salesperson problem (TSP) instance maximizing diversity, while satisfying a given cost constraint. This study aims to investigate the effectiveness of applying niching to maximize diversity rather than simply maintaining it. To this end, we introduce a 2-stage approach where a simple niching memetic algorithm (NMA), derived from a state-of-the-art for multi-solution TSP, is combined with a baseline diversifying algorithm. The most notable feature of the proposed NMA is the use of randomized improvement-first local s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.10316","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2201.10316/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2201.10316","created_at":"2026-07-05T04:15:29.047093+00:00"},{"alias_kind":"arxiv_version","alias_value":"2201.10316v2","created_at":"2026-07-05T04:15:29.047093+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.10316","created_at":"2026-07-05T04:15:29.047093+00:00"},{"alias_kind":"pith_short_12","alias_value":"TE3A26ZHOQ3U","created_at":"2026-07-05T04:15:29.047093+00:00"},{"alias_kind":"pith_short_16","alias_value":"TE3A26ZHOQ3UVCSQ","created_at":"2026-07-05T04:15:29.047093+00:00"},{"alias_kind":"pith_short_8","alias_value":"TE3A26ZH","created_at":"2026-07-05T04:15:29.047093+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/TE3A26ZHOQ3UVCSQGDDULK3HUB","json":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB.json","graph_json":"https://pith.science/api/pith-number/TE3A26ZHOQ3UVCSQGDDULK3HUB/graph.json","events_json":"https://pith.science/api/pith-number/TE3A26ZHOQ3UVCSQGDDULK3HUB/events.json","paper":"https://pith.science/paper/TE3A26ZH"},"agent_actions":{"view_html":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB","download_json":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB.json","view_paper":"https://pith.science/paper/TE3A26ZH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2201.10316&json=true","fetch_graph":"https://pith.science/api/pith-number/TE3A26ZHOQ3UVCSQGDDULK3HUB/graph.json","fetch_events":"https://pith.science/api/pith-number/TE3A26ZHOQ3UVCSQGDDULK3HUB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB/action/storage_attestation","attest_author":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB/action/author_attestation","sign_citation":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB/action/citation_signature","submit_replication":"https://pith.science/pith/TE3A26ZHOQ3UVCSQGDDULK3HUB/action/replication_record"}},"created_at":"2026-07-05T04:15:29.047093+00:00","updated_at":"2026-07-05T04:15:29.047093+00:00"}