{"id":"https://openalex.org/W79966361","doi":null,"title":"Optimizing Observation Scheduling Objectives","display_name":"Optimizing Observation Scheduling Objectives","publication_year":1997,"publication_date":"1997-01-01","ids":{"openalex":"https://openalex.org/W79966361","mag":"79966361"},"language":"en","primary_location":{"id":"mag:79966361","doi":null,"is_oa":false,"landing_page_url":"https://ntrs.nasa.gov/search.jsp?R=20020052461","pdf_url":null,"source":{"id":"https://openalex.org/S4306402118","display_name":"NASA Technical Reports Server (NASA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5079933398","display_name":"John L. Bresina","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Bresina","raw_affiliation_strings":["RECOM Software, Inc. Moffett Field, CA United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RECOM Software, Inc. Moffett Field, CA United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Robert A. Morris","orcid":"https://orcid.org/0000-0002-6992-9446","observed_orcids":["https://orcid.org/0000-0002-6992-9446"]},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert A. Morris","raw_affiliation_strings":["Florida Inst. of Tech. Melbourne, FL United States"],"raw_orcid":"https://orcid.org/0000-0002-6992-9446","affiliations":[{"raw_affiliation_string":"Florida Inst. of Tech. Melbourne, FL United States","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030116571","display_name":"W. Edgington","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210124779","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80","country_code":"US","type":"government","lineage":["https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William R. Edgington","raw_affiliation_strings":["NASA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA","institution_ids":["https://openalex.org/I4210124779"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8797,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75180921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.257099986076355,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.257099986076355,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.21619999408721924,"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"}},{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.16130000352859497,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/observation-scheduling","display_name":"observation scheduling","score":0.9890000224113464},{"id":"https://openalex.org/keywords/optimal-scheduling","display_name":"scheduling optimization","score":0.6489999890327454},{"id":"https://openalex.org/keywords/objective-function","display_name":"objective function","score":0.6259999871253967},{"id":"https://openalex.org/keywords/hbss","display_name":"HbSS","score":0.7739999890327454},{"id":"https://openalex.org/keywords/stochastic-sampling","display_name":"stochastic sampling","score":0.9129999876022339},{"id":"https://openalex.org/keywords/heuristic-bias","display_name":"heuristic bias","score":0.6259999871253967},{"id":"https://openalex.org/keywords/automatic-schedule-generation","display_name":"automatic schedule generation","score":0.5350000262260437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054163217544556},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6056300401687622},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5781439542770386},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5229978561401367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2841058075428009},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1425347626209259}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:79966361","doi":null,"is_oa":false,"landing_page_url":"https://ntrs.nasa.gov/search.jsp?R=20020052461","pdf_url":null,"source":{"id":"https://openalex.org/S4306402118","display_name":"NASA Technical Reports Server (NASA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210124779","host_organization_name":"National Aeronautics and Space Administration","host_organization_lineage":["https://openalex.org/I4210124779"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W170091463"],"related_works":["https://openalex.org/W1571467233","https://openalex.org/W7097013235","https://openalex.org/W795735610","https://openalex.org/W6941380920","https://openalex.org/W165672800","https://openalex.org/W2028994817","https://openalex.org/W3121641319","https://openalex.org/W2013275428","https://openalex.org/W2138093028","https://openalex.org/W2110601370"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"an":[5],"approach":[6,24],"that":[7],"enables":[8],"the":[9,26,40,48],"automatic":[10],"generation":[11],"of":[12,28],"high":[13],"quality":[14],"schedules,":[15],"with":[16],"respect":[17],"to":[18,39],"a":[19,35,52,55],"given":[20,41],"objective":[21],"function.":[22],"The":[23],"involves":[25],"combination":[27],"two":[29],"techniques:":[30],"GenH,":[31],"which":[32,46],"automatically":[33],"generates":[34],"search":[36],"heuristic":[37,50],"specialized":[38],"problem":[42],"instance,":[43],"and":[44],"HBSS,":[45],"employs":[47],"generated":[49],"as":[51],"bias":[53],"within":[54],"stochastic":[56],"sampling":[57],"method.":[58]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2016-06-24T00:00:00"}