{"id":"https://openalex.org/W2771036211","doi":"https://doi.org/10.1109/cbms.2017.129","title":"Self-Adaptive Multi-objective Evolutionary Algorithm for Molecular Design","display_name":"Self-Adaptive Multi-objective Evolutionary Algorithm for Molecular Design","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2771036211","doi":"https://doi.org/10.1109/cbms.2017.129","mag":"2771036211"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2017.129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2017.129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"},"type":"article","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/A5084040777","display_name":"Christos Kannas","orcid":"https://orcid.org/0000-0001-7312-8193"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Christos C. Kannas","raw_affiliation_strings":["Dept. of Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus","Department of Computer Science University of Cyprus Nicosia, Cyprus"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"Department of Computer Science University of Cyprus Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079839426","display_name":"Constantinos S. Pattichis","orcid":"https://orcid.org/0000-0003-1271-8151"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Constantinos S. Pattichis","raw_affiliation_strings":["Dept. of Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus","Department of Computer Science University of Cyprus Nicosia, Cyprus"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., Univ. of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]},{"raw_affiliation_string":"Department of Computer Science University of Cyprus Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084040777"],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20871955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11053","display_name":"Process Optimization and Integration","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7511707544326782},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.531269907951355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.521755039691925},{"id":"https://openalex.org/keywords/cultural-algorithm","display_name":"Cultural algorithm","score":0.509259819984436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5074946284294128},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4979856014251709},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49180319905281067},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.4668567478656769},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4532015919685364},{"id":"https://openalex.org/keywords/evolutionary-programming","display_name":"Evolutionary programming","score":0.432951956987381},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.42509520053863525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35548990964889526},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.244756817817688}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7511707544326782},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.531269907951355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.521755039691925},{"id":"https://openalex.org/C5536111","wikidata":"https://www.wikidata.org/wiki/Q5193250","display_name":"Cultural algorithm","level":4,"score":0.509259819984436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5074946284294128},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4979856014251709},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49180319905281067},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.4668567478656769},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4532015919685364},{"id":"https://openalex.org/C121835503","wikidata":"https://www.wikidata.org/wiki/Q2596288","display_name":"Evolutionary programming","level":3,"score":0.432951956987381},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.42509520053863525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35548990964889526},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.244756817817688},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms.2017.129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2017.129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"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/W284709436","https://openalex.org/W1514875444","https://openalex.org/W1596565458","https://openalex.org/W1915404392","https://openalex.org/W2027478081","https://openalex.org/W2028569720","https://openalex.org/W2048766386","https://openalex.org/W2053093276","https://openalex.org/W2057665314","https://openalex.org/W2111093836","https://openalex.org/W2275489486","https://openalex.org/W2600127841","https://openalex.org/W3126298030","https://openalex.org/W6630983572"],"related_works":["https://openalex.org/W4285805405","https://openalex.org/W609513197","https://openalex.org/W2102580788","https://openalex.org/W2391924736","https://openalex.org/W1560122427","https://openalex.org/W2141433557","https://openalex.org/W91044377","https://openalex.org/W2362140319","https://openalex.org/W1540041346","https://openalex.org/W2593449396"],"abstract_inverted_index":{"Self-adaptation":[0],"is":[1,18,59,67,80,84,92,101],"an":[2,11],"efficient":[3],"way":[4],"to":[5,34,50],"control":[6,40],"the":[7,25,70,81,87,104,111,139,153,176,182,191],"strategy":[8,28,46],"parameters":[9],"of":[10,27,45,72,118,136,172],"Evolutionary":[12,57,107,123,143],"Algorithm":[13,58,125,131,145],"automatically":[14],"during":[15],"optimization.":[16],"It":[17],"based":[19,93,102],"on":[20,69,94,103,133,147],"implicit":[21],"evolutionary":[22],"search":[23],"in":[24],"space":[26],"parameters,":[29,47],"and":[30,91,113,179],"has":[31],"been":[32],"proven":[33],"work":[35],"well":[36],"as":[37],"on-line":[38],"parameter":[39,173,184],"method":[41],"for":[42,86,175,190],"a":[43,60,134,158],"variety":[44],"from":[48],"local":[49],"global":[51],"ones.":[52],"Our":[53],"proposed":[54,65,121,154],"Self-Adaptive":[55],"Multi-Objective":[56,95,106,122,129,142],"two":[61],"level":[62,79,100],"algorithm.":[63],"The":[64,77,98,127],"solution":[66],"applied":[68],"problem":[71],"de":[73],"novo":[74],"molecular":[75,148],"design.":[76],"outer":[78,112,128],"algorithm":[82],"that":[83,186],"responsible":[85],"self":[88],"adaptive":[89],"techniques":[90],"Genetic":[96,130],"Algorithm.":[97,109],"inner":[99,114,140],"elite":[105,141],"Graph":[108,124,144],"Both":[110],"algorithms":[115],"are":[116],"variations":[117],"our":[119],"previously":[120],"framework.":[126],"operates":[132,146],"chromosome":[135],"elements,":[137],"while":[138],"graph":[149],"chromosomes.":[150],"In":[151],"general,":[152],"solution:":[155],"(i)":[156],"searches":[157],"larger":[159],"space,":[160],"(ii)":[161],"generates":[162],"far":[163],"more":[164],"solutions":[165],"per":[166],"iteration,":[167],"(iii)":[168],"evaluates":[169],"different":[170],"sets":[171,185],"options":[174],"given":[177,192],"problem,":[178],"(iv)":[180],"proposes":[181],"fittest":[183],"should":[187],"be":[188],"used":[189],"problem.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
