{"id":"https://openalex.org/W2538548805","doi":"https://doi.org/10.32657/10356/54820","title":"Multi-modal memetic framework for locating saddle points, with application to biomolecular systems : water clusters and ring-deficient covalently-bonded small molecules","display_name":"Multi-modal memetic framework for locating saddle points, with application to biomolecular systems : water clusters and ring-deficient covalently-bonded small molecules","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2538548805","doi":"https://doi.org/10.32657/10356/54820","mag":"2538548805"},"language":"en","primary_location":{"id":"doi:10.32657/10356/54820","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/54820","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/54820/1/Multi-Modal%20Memetic%20Framework%20for%20Locating%20Saddle%20Points.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},"type":"dissertation","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/54820/1/Multi-Modal%20Memetic%20Framework%20for%20Locating%20Saddle%20Points.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110452579","display_name":"Ellabaan Mostafa","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ellabaan Mostafa","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110452579"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9919000267982483,"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"}},"topics":[{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.9919000267982483,"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"}},{"id":"https://openalex.org/T11268","display_name":"Light effects on plants","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13126","display_name":"Scientific Research and Discoveries","score":0.9261000156402588,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.6889964938163757},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.6615080833435059},{"id":"https://openalex.org/keywords/saddle-point","display_name":"Saddle point","score":0.6493221521377563},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6443708539009094},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.6215976476669312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5053041577339172},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.49926137924194336},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.48869088292121887},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4850113093852997},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.432917058467865},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4176212251186371},{"id":"https://openalex.org/keywords/saddle","display_name":"Saddle","score":0.4110942482948303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38165542483329773},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3609238266944885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3089548945426941},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17702698707580566},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11183297634124756},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09618166089057922}],"concepts":[{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.6889964938163757},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.6615080833435059},{"id":"https://openalex.org/C2681867","wikidata":"https://www.wikidata.org/wiki/Q690935","display_name":"Saddle point","level":2,"score":0.6493221521377563},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6443708539009094},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.6215976476669312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5053041577339172},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.49926137924194336},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.48869088292121887},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4850113093852997},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.432917058467865},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4176212251186371},{"id":"https://openalex.org/C2777127463","wikidata":"https://www.wikidata.org/wiki/Q10862618","display_name":"Saddle","level":2,"score":0.4110942482948303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38165542483329773},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3609238266944885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3089548945426941},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17702698707580566},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11183297634124756},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09618166089057922},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.32657/10356/54820","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/54820","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/54820/1/Multi-Modal%20Memetic%20Framework%20for%20Locating%20Saddle%20Points.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/54820","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/54820","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"doi:10.32657/10356/54820","is_oa":true,"landing_page_url":"https://doi.org/10.32657/10356/54820","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/54820/1/Multi-Modal%20Memetic%20Framework%20for%20Locating%20Saddle%20Points.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nanyang Technological University","raw_type":"dissertation"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.6100000143051147,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2538548805.pdf","grobid_xml":"https://content.openalex.org/works/W2538548805.grobid-xml"},"referenced_works_count":113,"referenced_works":["https://openalex.org/W16215078","https://openalex.org/W18216792","https://openalex.org/W49093931","https://openalex.org/W80155594","https://openalex.org/W150416932","https://openalex.org/W180797010","https://openalex.org/W596609482","https://openalex.org/W611059226","https://openalex.org/W974470786","https://openalex.org/W1503161496","https://openalex.org/W1504770578","https://openalex.org/W1548655367","https://openalex.org/W1597825623","https://openalex.org/W1947393338","https://openalex.org/W1966754032","https://openalex.org/W1967535412","https://openalex.org/W1976619404","https://openalex.org/W1977574083","https://openalex.org/W1978640135","https://openalex.org/W1984603815","https://openalex.org/W1987878161","https://openalex.org/W1988675445","https://openalex.org/W1994624208","https://openalex.org/W1996078967","https://openalex.org/W1997162984","https://openalex.org/W1997507624","https://openalex.org/W2004751437","https://openalex.org/W2012996711","https://openalex.org/W2013695155","https://openalex.org/W2019683663","https://openalex.org/W2026215603","https://openalex.org/W2030068678","https://openalex.org/W2038312530","https://openalex.org/W2040055242","https://openalex.org/W2045761815","https://openalex.org/W2052821420","https://openalex.org/W2056852614","https://openalex.org/W2056922200","https://openalex.org/W2060075521","https://openalex.org/W2062920273","https://openalex.org/W2062957360","https://openalex.org/W2065079209","https://openalex.org/W2072355784","https://openalex.org/W2072774388","https://openalex.org/W2073246783","https://openalex.org/W2077039367","https://openalex.org/W2077517397","https://openalex.org/W2080131977","https://openalex.org/W2081159460","https://openalex.org/W2086513155","https://openalex.org/W2097437812","https://openalex.org/W2099428582","https://openalex.org/W2100069993","https://openalex.org/W2101458411","https://openalex.org/W2102559904","https://openalex.org/W2105445546","https://openalex.org/W2110043143","https://openalex.org/W2114620686","https://openalex.org/W2119419841","https://openalex.org/W2121084857","https://openalex.org/W2122427541","https://openalex.org/W2126926002","https://openalex.org/W2127437840","https://openalex.org/W2132147811","https://openalex.org/W2133524519","https://openalex.org/W2135779729","https://openalex.org/W2136567909","https://openalex.org/W2136691724","https://openalex.org/W2136744403","https://openalex.org/W2136831001","https://openalex.org/W2139511716","https://openalex.org/W2142632271","https://openalex.org/W2143323149","https://openalex.org/W2143431831","https://openalex.org/W2144121560","https://openalex.org/W2145680307","https://openalex.org/W2147189233","https://openalex.org/W2151676833","https://openalex.org/W2152074179","https://openalex.org/W2152167621","https://openalex.org/W2154047522","https://openalex.org/W2156880464","https://openalex.org/W2162132477","https://openalex.org/W2165885026","https://openalex.org/W2167199091","https://openalex.org/W2170834452","https://openalex.org/W2171934634","https://openalex.org/W2205647194","https://openalex.org/W2321416310","https://openalex.org/W2323174283","https://openalex.org/W2333334173","https://openalex.org/W2739083842","https://openalex.org/W2898889412","https://openalex.org/W3023133040","https://openalex.org/W3104575368","https://openalex.org/W4301173492","https://openalex.org/W4301428739","https://openalex.org/W4362219825","https://openalex.org/W4386770874","https://openalex.org/W6602023597","https://openalex.org/W6640918218","https://openalex.org/W6644055856","https://openalex.org/W6644638893","https://openalex.org/W6657988262","https://openalex.org/W6668866210","https://openalex.org/W6670899798","https://openalex.org/W6674771638","https://openalex.org/W6680146005","https://openalex.org/W6680409522","https://openalex.org/W6682907442","https://openalex.org/W6685148105","https://openalex.org/W6828948106","https://openalex.org/W7075658150"],"related_works":["https://openalex.org/W2163647484","https://openalex.org/W47248985","https://openalex.org/W2000270779","https://openalex.org/W4236459141","https://openalex.org/W4205304778","https://openalex.org/W2129486222","https://openalex.org/W2020252434","https://openalex.org/W2042716007","https://openalex.org/W1778024729","https://openalex.org/W1980841486"],"abstract_inverted_index":{"Saddle":[0],"points":[1,22,57,91,132],"have":[2],"important":[3],"applications":[4],"in":[5],"different":[6],"fields":[7],"of":[8,44,59,67,74,101,117,123,133],"science":[9],"and":[10,17,69,96],"engineering,":[11],"including":[12],"transition":[13],"states":[14],"identification,":[15],"path-planning":[16],"robotics":[18],"navigation.":[19],"Identifying":[20],"such":[21],"using":[23],"memetic":[24,41,98],"approaches":[25],"is":[26],"a":[27,39,46],"field,":[28],"remained":[29],"yet":[30],"to":[31,54,138],"be":[32],"well-investigated.":[33],"In":[34],"this":[35],"dissertation,":[36],"we":[37],"propose":[38],"multi-modal":[40],"framework,":[42],"composing":[43],"1)":[45],"fitness":[47],"function":[48],"that":[49],"transforms":[50],"the":[51,75,83,93,121,124],"problem":[52,76],"landscape":[53],"favor":[55],"saddle":[56,90,102,109,131],"instead":[58],"local":[60,104],"or":[61],"global":[62],"optima,":[63],"2)":[64],"evolutionary":[65,94,140],"operators":[66],"crossover":[68],"mutation":[70],"for":[71,87,106,127],"efficient":[72],"exploration":[73],"landscape,":[77],"3)":[78],"niching":[79],"operator":[80,99],"based":[81],"on":[82,113],"valley-adaptive":[84],"clearing":[85],"scheme":[86],"maintaining":[88],"multiple":[89,129],"during":[92],"process,":[95],"4)":[97],"consisting":[100],"point":[103],"searcher":[105],"attaining":[107],"precise":[108],"points.":[110],"Experimental":[111],"study":[112],"synthetic":[114],"benchmark":[115],"functions":[116],"varying":[118],"complexity":[119],"demonstrates":[120],"efficacy":[122],"proposed":[125],"framework":[126],"locating":[128],"first-order":[130],"higher":[134],"precision,":[135],"when":[136],"compared":[137],"its":[139],"compeers.":[141]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
