Evaluation of choice functions to self-adaptive on constraint programming via the black hole algorithm

dc.creatorOlivares R.
dc.creatorSoto R.
dc.creatorCrawford B.
dc.creatorBarria M.
dc.creatorNiklander S.
dc.date.accessioned2020-09-02T22:24:47Z
dc.date.accessioned2022-11-08T20:18:40Z
dc.date.available2020-09-02T22:24:47Z
dc.date.available2022-11-08T20:18:40Z
dc.date.created2020-09-02T22:24:47Z
dc.date.issued2017
dc.identifierhttps://hdl.handle.net/20.500.12728/5646
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5142832
dc.languagees
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectAutonomous search
dc.subjectblack hole algorithm
dc.subjectchoice function
dc.subjectComputer control
dc.subjectComputer programming
dc.subjectConstraint theory
dc.subjectForestry
dc.subjectGravitation
dc.subjectOptimization
dc.subjectProcess control
dc.subjectStars
dc.subjectSupply chain management
dc.subjectAdaptive capabilities
dc.subjectAutonomous searches
dc.subjectBlack holes
dc.subjectChoice function
dc.subjectConstraint programming
dc.subjectImprove performance
dc.subjectPerformance indicators
dc.subjectSatisfaction problem
dc.subjectFunction evaluation
dc.titleEvaluation of choice functions to self-adaptive on constraint programming via the black hole algorithm
dc.typeConference Paper


Este ítem pertenece a la siguiente institución