{"id":"https://openalex.org/W2154325110","doi":"https://doi.org/10.1145/1068009.1068363","title":"Predicting mining activity with parallel genetic algorithms","display_name":"Predicting mining activity with parallel genetic algorithms","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2154325110","doi":"https://doi.org/10.1145/1068009.1068363","mag":"2154325110"},"language":"en","primary_location":{"id":"doi:10.1145/1068009.1068363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","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/A5040596800","display_name":"Sam Talaie","orcid":null},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sam Talaie","raw_affiliation_strings":["University of Nevada, Reno, NV"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, NV","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065933251","display_name":"Ryan Leigh","orcid":null},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Leigh","raw_affiliation_strings":["University of Nevada, Reno, NV"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, NV","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038116123","display_name":"Sushil J. Louis","orcid":"https://orcid.org/0000-0001-6702-3950"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sushil J. Louis","raw_affiliation_strings":["University of Nevada, Reno, NV"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, NV","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024762551","display_name":"Gary L. Raines","orcid":null},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary L. Raines","raw_affiliation_strings":["University of Nevada, Reno, NV"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, NV","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040596800"],"corresponding_institution_ids":["https://openalex.org/I134113660"],"apc_list":null,"apc_paid":null,"fwci":0.2781,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65250407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2149","last_page":"2155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9531000256538391,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8312866687774658},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7787444591522217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5743061304092407},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5458848476409912},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5313957929611206},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5303424596786499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5184412002563477},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.4783425033092499},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4554266035556793},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43612948060035706},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43064606189727783},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4278918206691742},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4139168858528137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29293274879455566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2903035283088684},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.104583740234375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0942474901676178},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0932946503162384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8312866687774658},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7787444591522217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5743061304092407},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5458848476409912},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5313957929611206},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5303424596786499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5184412002563477},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.4783425033092499},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4554266035556793},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43612948060035706},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43064606189727783},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4278918206691742},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4139168858528137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29293274879455566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2903035283088684},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.104583740234375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0942474901676178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0932946503162384},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1068009.1068363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.324.2553","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.2553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.york.ac.uk/rts/docs/GECCO_2005/Conference proceedings/docs/p2149.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W66521670","https://openalex.org/W78052452","https://openalex.org/W1482242048","https://openalex.org/W1497256448","https://openalex.org/W1514048016","https://openalex.org/W1568788513","https://openalex.org/W1572352511","https://openalex.org/W1894395626","https://openalex.org/W2097571405","https://openalex.org/W2152150600","https://openalex.org/W2164777277","https://openalex.org/W2165780759","https://openalex.org/W2168572806","https://openalex.org/W3023540311","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W1875930651","https://openalex.org/W1590965489"],"abstract_inverted_index":{"We":[0,22,70],"explore":[1,56],"several":[2],"different":[3,61,65,121,125],"techniques":[4],"in":[5],"our":[6,114],"quest":[7],"to":[8,27,51,75,82,128],"improve":[9,107,129],"the":[10,24,38,41,57,68,72,87,100,108,111],"overall":[11,130],"model":[12,112,131],"performance":[13,109],"of":[14,59,67,110],"a":[15,46,77,91],"genetic":[16,42],"algorithm":[17],"calibrated":[18],"probabilistic":[19],"cellular":[20],"automata.":[21],"use":[23],"Kappa":[25],"statistic":[26],"measure":[28],"correlation":[29],"between":[30],"ground":[31],"truth":[32],"data":[33,35],"and":[34,54,89,113],"predicted":[36],"by":[37,85],"model.":[39],"Within":[40],"algorithm,":[43],"we":[44,55],"introduce":[45],"new":[47],"evaluation":[48,103],"function":[49,104],"sensitive":[50,102],"spatial":[52],"correctness":[53],"idea":[58],"evolving":[60,120],"rule":[62,122],"parameters":[63,123],"for":[64,124],"subregions":[66],"land.":[69],"reduce":[71],"time":[73],"required":[74],"run":[76],"simulation":[78],"from":[79],"6":[80],"hours":[81],"10":[83],"minutes":[84],"parallelizing":[86],"code":[88],"employing":[90],"10-node":[92],"cluster.":[93],"Our":[94],"empirical":[95],"results":[96,116],"suggest":[97],"that":[98,119],"using":[99],"spatially":[101],"does":[105],"indeed":[106],"preliminary":[115],"also":[117],"show":[118],"regions":[126],"tends":[127],"performance.":[132]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}