{"id":"https://openalex.org/W3088301501","doi":"https://doi.org/10.1145/3415088.3415092","title":"Modified grasshopper optimisation algorithm","display_name":"Modified grasshopper optimisation algorithm","publication_year":2020,"publication_date":"2020-09-18","ids":{"openalex":"https://openalex.org/W3088301501","doi":"https://doi.org/10.1145/3415088.3415092","mag":"3088301501"},"language":"en","primary_location":{"id":"doi:10.1145/3415088.3415092","doi":"https://doi.org/10.1145/3415088.3415092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3415088.3415092","pdf_url":null,"source":{"id":"https://openalex.org/S4387288222","display_name":"International Conference on Intelligent and Innovative Computing Applications","issn_l":"1694-4607","issn":["1694-4607","1694-464X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1145/3415088.3415092","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021878045","display_name":"Rajani Kumari","orcid":"https://orcid.org/0000-0003-3113-4637","observed_orcids":["https://orcid.org/0000-0003-3113-4637","https://orcid.org/0009-0003-0054-637X"]},"institutions":[{"id":"https://openalex.org/I3131927718","display_name":"JECRC University","ror":"https://ror.org/04hjsag95","country_code":"IN","type":"education","lineage":["https://openalex.org/I3131927718"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajani Kumari","raw_affiliation_strings":["JECRC University, Jaipur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JECRC University, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I3131927718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010379237","display_name":"Sandeep Kumar","orcid":"https://orcid.org/0000-0003-4125-4165","observed_orcids":["https://orcid.org/0000-0003-4125-4165"]},"institutions":[{"id":"https://openalex.org/I4405263076","display_name":"Amity University Jaipur","ror":"https://ror.org/027sha433","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202","https://openalex.org/I4405263076"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sandeep Kumar","raw_affiliation_strings":["Amity University Rajasthan, Jaipur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amity University Rajasthan, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I4405263076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091880648","display_name":"Anand Nayyar","orcid":"https://orcid.org/0000-0002-9821-6146","observed_orcids":["https://orcid.org/0000-0002-9821-6146"]},"institutions":[{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Anand Nayyar","raw_affiliation_strings":["Duy Tan University, Da Nang, Viet Nam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duy Tan University, Da Nang, Viet Nam","institution_ids":["https://openalex.org/I170238339"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3184,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.53764205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":1.0,"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":1.0,"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/T11946","display_name":"Antenna Design and Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grasshopper-optimization-algorithm","display_name":"grasshopper optimization algorithm","score":0.9900000095367432},{"id":"https://openalex.org/keywords/foraging-behavior","display_name":"foraging behavior","score":0.6880000233650208},{"id":"https://openalex.org/keywords/exploration-exploitation-trade-off","display_name":"exploration-exploitation balance","score":0.8709999918937683},{"id":"https://openalex.org/keywords/adaptive-coefficient","display_name":"adaptive coefficient","score":0.6389999985694885},{"id":"https://openalex.org/keywords/hyperbolic-functions","display_name":"hyperbolic functions","score":0.9950000047683716},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.9229999780654907},{"id":"https://openalex.org/keywords/benchmark-functions","display_name":"benchmark functions","score":0.6119999885559082}],"concepts":[{"id":"https://openalex.org/C2778575915","wikidata":"https://www.wikidata.org/wiki/Q18398431","display_name":"Grasshopper","level":2,"score":0.8756753206253052},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7093481421470642},{"id":"https://openalex.org/C165287380","wikidata":"https://www.wikidata.org/wiki/Q2916569","display_name":"Foraging","level":2,"score":0.6094310879707336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5517324805259705},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5507567524909973},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5486479997634888},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.545303463935852},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5378595590591431},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5237800478935242},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.47366461157798767},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42933544516563416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29805922508239746},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.10388490557670593},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.081583172082901},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3415088.3415092","doi":"https://doi.org/10.1145/3415088.3415092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3415088.3415092","pdf_url":null,"source":{"id":"https://openalex.org/S4387288222","display_name":"International Conference on Intelligent and Innovative Computing Applications","issn_l":"1694-4607","issn":["1694-4607","1694-464X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3415088.3415092","doi":"https://doi.org/10.1145/3415088.3415092","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3415088.3415092","pdf_url":null,"source":{"id":"https://openalex.org/S4387288222","display_name":"International Conference on Intelligent and Innovative Computing Applications","issn_l":"1694-4607","issn":["1694-4607","1694-464X"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Intelligent and Innovative Computing Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1538895518","https://openalex.org/W1853030369","https://openalex.org/W1976744965","https://openalex.org/W1999077811","https://openalex.org/W2126050191","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2171211995","https://openalex.org/W2585392941","https://openalex.org/W2623231264","https://openalex.org/W2760744682","https://openalex.org/W2784834174","https://openalex.org/W2798688741","https://openalex.org/W2804806055","https://openalex.org/W2810138958","https://openalex.org/W2885191712","https://openalex.org/W2886657999","https://openalex.org/W2887171350","https://openalex.org/W2892079407","https://openalex.org/W2895610758","https://openalex.org/W2901108989","https://openalex.org/W2903932848","https://openalex.org/W2908929618","https://openalex.org/W2910237780","https://openalex.org/W2944206991","https://openalex.org/W2954431691","https://openalex.org/W2969432693","https://openalex.org/W2990877300","https://openalex.org/W4237836779","https://openalex.org/W4250503569"],"related_works":["https://openalex.org/W4292373763","https://openalex.org/W3088245394","https://openalex.org/W2999637092","https://openalex.org/W3005051047","https://openalex.org/W3158220094","https://openalex.org/W3099405685","https://openalex.org/W4322493542","https://openalex.org/W7169784411","https://openalex.org/W4206529690","https://openalex.org/W3166612907"],"abstract_inverted_index":{"The":[0,64,77],"grasshopper":[1,10],"optimization":[2],"algorithm":[3,79,101],"(GOA)":[4],"mimics":[5],"the":[6,16],"foraging":[7],"behavior":[8],"of":[9,15,67,92],"insects.":[11],"It":[12],"is":[13,69,80],"one":[14],"youngest":[17],"and":[18,26,44,72,86],"widespread":[19],"algorithms":[20],"for":[21,52,61,102],"optimization.":[22],"In":[23],"GOA":[24,84],"exploration":[25,43],"exploitation":[27,45],"depends":[28],"on":[29],"coefficient":[30,50],"c":[31,51,68],"used":[32],"in":[33,42],"position":[34],"update":[35],"process.":[36],"So":[37],"as":[38,82],"to":[39,56],"improve":[40],"balancing":[41],"this":[46],"paper":[47],"introduced":[48],"modified":[49,83],"fine":[53],"tuning":[54],"these":[55],"contradictory":[57],"process":[58],"while":[59],"searching":[60],"optimum":[62],"solution.":[63],"new":[65],"value":[66],"decided":[70],"adaptively":[71],"stimulated":[73],"by":[74],"hyperbolic":[75],"function.":[76],"anticipated":[78],"named":[81],"(mGOA)":[85],"tested":[87],"over":[88],"a":[89],"standard":[90],"set":[91],"benchmark":[93],"problems.":[94,106],"Outcomes":[95],"proves":[96],"that":[97],"mGOA":[98],"outperformed":[99],"considered":[100],"more":[103],"than":[104],"90%":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-10-01T00:00:00"}