Publication Information

{'id': 'https://openalex.org/W2990829535', 'doi': 'https://doi.org/10.1115/detc2019-97709', 'title': 'Improving Cuckoo Search Algorithm With Mittag-Leffler Distribution', 'display_name': 'Improving Cuckoo Search Algorithm With Mittag-Leffler Distribution', 'publication_year': 2019, 'publication_date': '2019-08-18', 'ids': {'openalex': 'https://openalex.org/W2990829535', 'doi': 'https://doi.org/10.1115/detc2019-97709', 'mag': '2990829535'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1115/detc2019-97709', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5048971681', 'display_name': 'Jiamin Wei', 'orcid': 'https://orcid.org/0000-0001-8728-201X'}, 'institutions': [{'id': 'https://openalex.org/I21193070', 'display_name': 'Beijing Jiaotong University', 'ror': 'https://ror.org/01yj56c84', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I21193070']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Jiamin Wei', 'raw_affiliation_strings': ['Beijing Jiaotong University, Beijing, China'], 'affiliations': [{'raw_affiliation_string': 'Beijing Jiaotong University, Beijing, China', 'institution_ids': ['https://openalex.org/I21193070']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100715957', 'display_name': 'YangQuan Chen', 'orcid': 'https://orcid.org/0000-0002-7422-5988'}, 'institutions': [{'id': 'https://openalex.org/I156087764', 'display_name': 'University of California, Merced', 'ror': 'https://ror.org/00d9ah105', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I156087764']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'YangQuan Chen', 'raw_affiliation_strings': ['University of California, Merced, Merced, CA'], 'affiliations': [{'raw_affiliation_string': 'University of California, Merced, Merced, CA', 'institution_ids': ['https://openalex.org/I156087764']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5059925149', 'display_name': 'Yongguang Yu', 'orcid': 'https://orcid.org/0000-0002-9336-0376'}, 'institutions': [{'id': 'https://openalex.org/I21193070', 'display_name': 'Beijing Jiaotong University', 'ror': 'https://ror.org/01yj56c84', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I21193070']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yongguang Yu', 'raw_affiliation_strings': ['Beijing Jiaotong University, Beijing, China'], 'affiliations': [{'raw_affiliation_string': 'Beijing Jiaotong University, Beijing, China', 'institution_ids': ['https://openalex.org/I21193070']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5101939746', 'display_name': 'Yuquan Chen', 'orcid': 'https://orcid.org/0000-0002-3372-0085'}, 'institutions': [{'id': 'https://openalex.org/I126520041', 'display_name': 'University of Science and Technology of China', 'ror': 'https://ror.org/04c4dkn09', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I126520041', 'https://openalex.org/I19820366']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yuquan Chen', 'raw_affiliation_strings': ['University of Science and Technology of China, Hefei, China'], 'affiliations': [{'raw_affiliation_string': 'University of Science and Technology of China, Hefei, China', 'institution_ids': ['https://openalex.org/I126520041']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 3, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.137, 'has_fulltext': False, 'cited_by_count': 3, 'citation_normalized_percentile': {'value': 0.550522, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 74, 'max': 77}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10100', 'display_name': 'Metaheuristic Optimization Algorithms Research', 'score': 0.9856, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10100', 'display_name': 'Metaheuristic Optimization Algorithms Research', 'score': 0.9856, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10567', 'display_name': 'Vehicle Routing Optimization Methods', 'score': 0.9272, 'subfield': {'id': 'https://openalex.org/subfields/2209', 'display_name': 'Industrial and Manufacturing Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/cuckoo-search', 'display_name': 'Cuckoo search', 'score': 0.9418663}, {'id': 'https://openalex.org/keywords/lévy-flight', 'display_name': 'Lévy flight', 'score': 0.8803215}, {'id': 'https://openalex.org/keywords/benchmark', 'display_name': 'Benchmark (surveying)', 'score': 0.6600671}, {'id': 'https://openalex.org/keywords/random-search', 'display_name': 'Random search', 'score': 0.50078034}, {'id': 'https://openalex.org/keywords/test-suite', 'display_name': 'Test suite', 'score': 0.43047443}], 'concepts': [{'id': 'https://openalex.org/C117241572', 'wikidata': 'https://www.wikidata.org/wiki/Q5192379', 'display_name': 'Cuckoo search', 'level': 3, 'score': 0.9418663}, {'id': 'https://openalex.org/C118918019', 'wikidata': 'https://www.wikidata.org/wiki/Q4114998', 'display_name': 'Lévy flight', 'level': 3, 'score': 0.8803215}, {'id': 'https://openalex.org/C185798385', 'wikidata': 'https://www.wikidata.org/wiki/Q1161707', 'display_name': 'Benchmark (surveying)', 'level': 2, 'score': 0.6600671}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.6099229}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.56882334}, {'id': 'https://openalex.org/C109718341', 'wikidata': 'https://www.wikidata.org/wiki/Q1385229', 'display_name': 'Metaheuristic', 'level': 2, 'score': 0.53936094}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.5313611}, {'id': 'https://openalex.org/C2777303404', 'wikidata': 'https://www.wikidata.org/wiki/Q759757', 'display_name': 'Convergence (economics)', 'level': 2, 'score': 0.50873834}, {'id': 'https://openalex.org/C126661757', 'wikidata': 'https://www.wikidata.org/wiki/Q4925641', 'display_name': 'Random search', 'level': 2, 'score': 0.50078034}, {'id': 'https://openalex.org/C110121322', 'wikidata': 'https://www.wikidata.org/wiki/Q865811', 'display_name': 'Distribution (mathematics)', 'level': 2, 'score': 0.49106026}, {'id': 'https://openalex.org/C125583679', 'wikidata': 'https://www.wikidata.org/wiki/Q755673', 'display_name': 'Search algorithm', 'level': 2, 'score': 0.47962674}, {'id': 'https://openalex.org/C135320971', 'wikidata': 'https://www.wikidata.org/wiki/Q1868524', 'display_name': 'Local search (optimization)', 'level': 2, 'score': 0.4738995}, {'id': 'https://openalex.org/C121194460', 'wikidata': 'https://www.wikidata.org/wiki/Q856741', 'display_name': 'Random walk', 'level': 2, 'score': 0.44408986}, {'id': 'https://openalex.org/C151552104', 'wikidata': 'https://www.wikidata.org/wiki/Q7705809', 'display_name': 'Test suite', 'level': 4, 'score': 0.43047443}, {'id': 'https://openalex.org/C149441793', 'wikidata': 'https://www.wikidata.org/wiki/Q200726', 'display_name': 'Probability distribution', 'level': 2, 'score': 0.4198944}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.30702356}, {'id': 'https://openalex.org/C128942645', 'wikidata': 'https://www.wikidata.org/wiki/Q1568346', 'display_name': 'Test case', 'level': 3, 'score': 0.19763055}, {'id': 'https://openalex.org/C85617194', 'wikidata': 'https://www.wikidata.org/wiki/Q2072794', 'display_name': 'Particle swarm optimization', 'level': 2, 'score': 0.18715939}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.16901255}, {'id': 'https://openalex.org/C105795698', 'wikidata': 'https://www.wikidata.org/wiki/Q12483', 'display_name': 'Statistics', 'level': 1, 'score': 0.088555366}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C152877465', 'wikidata': 'https://www.wikidata.org/wiki/Q208042', 'display_name': 'Regression analysis', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C13280743', 'wikidata': 'https://www.wikidata.org/wiki/Q131089', 'display_name': 'Geodesy', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C50522688', 'wikidata': 'https://www.wikidata.org/wiki/Q189833', 'display_name': 'Economic growth', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C162324750', 'wikidata': 'https://www.wikidata.org/wiki/Q8134', 'display_name': 'Economics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C205649164', 'wikidata': 'https://www.wikidata.org/wiki/Q1071', 'display_name': 'Geography', 'level': 0, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1115/detc2019-97709', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W3192524082', 'https://openalex.org/W3174527952', 'https://openalex.org/W3118599245', 'https://openalex.org/W2990829535', 'https://openalex.org/W2895849941', 'https://openalex.org/W2808618135', 'https://openalex.org/W2795067427', 'https://openalex.org/W2752377314', 'https://openalex.org/W2286289445', 'https://openalex.org/W1505402195'], 'abstract_inverted_index': {'Abstract': [0], 'Cuckoo': [1], 'search': [2, 27, 44, 78, 141, 151, 159], '(CS),': [3], 'as': [4, 198], 'one': [5], 'of': [6, 23, 66, 80, 97, 103, 172, 182, 188], 'the': [7, 21, 43, 52, 101, 119, 127, 132, 158, 163, 170, 189], 'recent': [8], 'nature-inspired': [9], 'metaheuristic': [10], 'algorithms,': [11], 'has': [12], 'proved': [13], 'to': [14, 20, 41, 92, 115, 125, 131, 154, 162, 168], 'be': [15, 196], 'an': [16, 73, 138], 'efficient': [17, 150], 'approach': [18], 'due': [19], 'combination': [22], 'Lévy': [24, 35, 47, 53, 95], 'flights,': [25], 'local': [26], 'capabilities': [28], 'and': [29, 86, 136, 191], 'guaranteed': [30], 'global': [31, 38], 'convergence.': [32], 'CS': [33, 110, 134], 'uses': [34], 'flights': [36], 'in': [37, 76, 144, 157], 'random': [39], 'walk': [40], 'explore': [42], 'space.': [45], 'The': [46], 'step': [48], 'is': [49, 56, 111, 152], 'taken': [50], 'from': [51], 'distribution': [54, 96, 130], 'which': [55, 71], 'a': [57, 64, 94, 148, 179, 199], 'heavy-tailed': [58, 106], 'probability': [59, 107], 'distribution.': [60], 'In': [61, 166, 186], 'this': [62, 145], 'case,': [63], 'fraction': [65], 'large': [67], 'steps': [68], 'are': [69, 123, 175], 'generated,': [70], 'plays': [72], 'important': [74], 'role': [75], 'enhancing': [77], 'capability': [79], 'CS.': [81], 'Besides,': [82], 'although': [83], 'many': [84], 'foragers': [85], 'wandering': [87], 'animals': [88], 'have': [89], 'been': [90], 'shown': [91], 'follow': [93], 'steps,': [98], 'investigation': [99], 'into': [100], 'impact': [102], 'other': [104], 'different': [105], 'distributions': [108], 'on': [109, 118, 178], 'still': [112], 'insufficient': [113], 'up': [114], 'now.': [116], 'Based': [117], 'above': [120], 'considerations,': [121], 'we': [122], 'motivated': [124], 'apply': [126], 'well-known': [128], 'Mittag-Leffler': [129], 'standard': [133], 'algorithm,': [135], 'proposed': [137], 'improved': [139], 'cuckoo': [140], 'algorithm': [142, 203], '(CSML)': [143], 'paper,': [146], 'where': [147], 'more': [149], 'supposed': [153], 'take': [155], 'place': [156], 'space': [160], 'thanks': [161], 'long': [164], 'jumps.': [165], 'order': [167], 'verify': [169], 'performance': [171], 'CSML,': [173], 'experiments': [174], 'carried': [176], 'out': [177], 'test': [180], 'suite': [181], '20': [183], 'benchmark': [184], 'functions.': [185], 'terms': [187], 'observations': [190], 'results': [192], 'analysis,': [193], 'CSML': [194], 'can': [195], 'regarded': [197], 'new': [200], 'potentially': [201], 'promising': [202], 'for': [204], 'solving': [205], 'optimization': [206], 'problems.': [207]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2990829535', 'counts_by_year': [{'year': 2023, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 1}, {'year': 2021, 'cited_by_count': 1}], 'updated_date': '2024-12-12T10:39:06.703985', 'created_date': '2019-12-05'}