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Numerical and Evolutionary Optimization 2020

dc.contributor.editorQuiroz, Marcela
dc.contributor.editorSchütze, Oliver
dc.contributor.editorRuiz, Juan Gabriel
dc.contributor.editorde la Fraga, Luis Gerardo
dc.date.accessioned2022-01-11T13:40:49Z
dc.date.available2022-01-11T13:40:49Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036516691_481
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76746
dc.description.abstractThis book was established after the 8th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Scienceen_US
dc.subject.otherrobust optimization
dc.subject.otherdifferential evolution
dc.subject.otherROOT
dc.subject.otheroptimization framework
dc.subject.otherdrainage rehabilitation
dc.subject.otheroverflooding
dc.subject.otherpipe breaking
dc.subject.otherVCO
dc.subject.otherCMOS differential pair
dc.subject.otherPVT variations
dc.subject.otherMonte Carlo analysis
dc.subject.othermulti-objective optimization
dc.subject.otherPareto Tracer
dc.subject.othercontinuation
dc.subject.otherconstraint handling
dc.subject.othersurrogate modeling
dc.subject.othermultiobjective optimization
dc.subject.otherevolutionary algorithms
dc.subject.otherkriging method
dc.subject.otherensemble method
dc.subject.otheradaptive algorithm
dc.subject.otherliquid storage tanks
dc.subject.otherbase excitation
dc.subject.otherartificial intelligence
dc.subject.otherMulti-Gene Genetic Programming
dc.subject.othercomputational fluid dynamics
dc.subject.otherfinite volume method
dc.subject.otherJSSP
dc.subject.otherCMOSA
dc.subject.otherCMOTA
dc.subject.otherchaotic perturbation
dc.subject.otherfixed point arithmetic
dc.subject.otherFP16
dc.subject.otherpseudo random number generator
dc.subject.otherincorporation of preferences
dc.subject.othermulti-criteria classification
dc.subject.otherdecision-making process
dc.subject.othermulti-objective evolutionary optimization
dc.subject.otheroutranking relationships
dc.subject.otherdecision maker profile
dc.subject.otherprofile assessment
dc.subject.otherregion of interest approximation
dc.subject.otheroptimization using preferences
dc.subject.otherhybrid evolutionary approach
dc.subject.otherforecasting
dc.subject.otherConvolutional Neural Network
dc.subject.otherLSTM
dc.subject.otherCOVID-19
dc.subject.otherdeep learning
dc.subject.othertrust region methods
dc.subject.othermultiobjective descent
dc.subject.otherderivative-free optimization
dc.subject.otherradial basis functions
dc.subject.otherfully linear models
dc.subject.otherdecision making process
dc.subject.othercognitive tasks
dc.subject.otherrecommender system
dc.subject.otherproject portfolio selection problem
dc.subject.otherusability evaluation
dc.subject.othermulti-objective portfolio optimization problem
dc.subject.othertrapezoidal fuzzy numbers
dc.subject.otherdensity estimators
dc.subject.othersteady state algorithms
dc.subject.otherprotein structure prediction
dc.subject.otherHybrid Simulated Annealing
dc.subject.otherTemplate-Based Modeling
dc.subject.otherstructural biology
dc.subject.otherMetropolis
dc.subject.otheroptimization
dc.subject.otherlinear programming
dc.subject.otherenergy central
dc.titleNumerical and Evolutionary Optimization 2020
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-1670-7
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036516691
oapen.relation.isbn9783036516707
oapen.pages364
oapen.place.publicationBasel, Switzerland


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