{"id":"https://openalex.org/W7169677130","doi":"https://doi.org/10.1007/978-981-92-3397-7_31","title":"Adaptive Fitness Landscape Competitive Swarm Optimization Algorithm","display_name":"Adaptive Fitness Landscape Competitive Swarm Optimization Algorithm","publication_year":2026,"publication_date":"2026-07-18","ids":{"openalex":"https://openalex.org/W7169677130","doi":"https://doi.org/10.1007/978-981-92-3397-7_31"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-92-3397-7_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3397-7_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5141121163","display_name":"Feng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]},{"raw_affiliation_string":"School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022140015","display_name":"Feng Zh","orcid":null},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Zou","raw_affiliation_strings":["Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]},{"raw_affiliation_string":"School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108049710","display_name":"Debao Chen","orcid":"https://orcid.org/0000-0002-0179-387X"},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"DeBao Chen","raw_affiliation_strings":["Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]},{"raw_affiliation_string":"School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022140015"],"corresponding_institution_ids":["https://openalex.org/I165859042"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"367","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.7163000106811523},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5728999972343445},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.5708000063896179},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5440999865531921},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.45899999141693115},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4537000060081482},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4390000104904175},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.4318999946117401},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.42590001225471497}],"concepts":[{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.7163000106811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106000185012817},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6539000272750854},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5728999972343445},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.5708000063896179},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5440999865531921},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.45899999141693115},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.4318999946117401},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.42590001225471497},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38499999046325684},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.3537999987602234},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.29109999537467957},{"id":"https://openalex.org/C167393769","wikidata":"https://www.wikidata.org/wiki/Q4680768","display_name":"Adaptive strategies","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C101219045","wikidata":"https://www.wikidata.org/wiki/Q10859646","display_name":"Imperialist competitive algorithm","level":4,"score":0.27230000495910645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27070000767707825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-92-3397-7_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-92-3397-7_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1995972800","https://openalex.org/W2112299196","https://openalex.org/W2152195021","https://openalex.org/W2343601797","https://openalex.org/W2616257225","https://openalex.org/W2932748297","https://openalex.org/W2946739419","https://openalex.org/W3012205554","https://openalex.org/W3123270512","https://openalex.org/W3156802750","https://openalex.org/W3199466527","https://openalex.org/W4205248652","https://openalex.org/W4385194762","https://openalex.org/W4390939837"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-20T05:51:44.042241","created_date":"2026-07-19T00:00:00"}