04829nam 2201285z- 450 991055763100332120220111(CKB)5400000000045104(oapen)https://directory.doabooks.org/handle/20.500.12854/76746(oapen)doab76746(EXLCZ)99540000000004510420202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNumerical and Evolutionary Optimization 2020Basel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (364 p.)3-0365-1669-7 3-0365-1670-0 This 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.Mathematics & sciencebicsscResearch & information: generalbicsscadaptive algorithmartificial intelligencebase excitationchaotic perturbationCMOS differential pairCMOSACMOTAcognitive taskscomputational fluid dynamicsconstraint handlingcontinuationConvolutional Neural NetworkCOVID-19decision maker profiledecision making processdecision-making processdeep learningdensity estimatorsderivative-free optimizationdifferential evolutiondrainage rehabilitationenergy centralensemble methodevolutionary algorithmsfinite volume methodfixed point arithmeticforecastingFP16fully linear modelshybrid evolutionary approachHybrid Simulated Annealingincorporation of preferencesJSSPkriging methodlinear programmingliquid storage tanksLSTMMetropolisMonte Carlo analysismulti-criteria classificationMulti-Gene Genetic Programmingmulti-objective evolutionary optimizationmulti-objective optimizationmulti-objective portfolio optimization problemmultiobjective descentmultiobjective optimizationoptimizationoptimization frameworkoptimization using preferencesoutranking relationshipsoverfloodingPareto Tracerpipe breakingprofile assessmentproject portfolio selection problemprotein structure predictionpseudo random number generatorPVT variationsradial basis functionsrecommender systemregion of interest approximationrobust optimizationROOTsteady state algorithmsstructural biologysurrogate modelingTemplate-Based Modelingtrapezoidal fuzzy numberstrust region methodsusability evaluationVCOMathematics & scienceResearch & information: generalQuiroz Marcelaedt1277553Schütze OliveredtRuiz Juan Gabrieledtde la Fraga Luis GerardoedtQuiroz MarcelaothSchütze OliverothRuiz Juan Gabrielothde la Fraga Luis GerardoothBOOK9910557631003321Numerical and Evolutionary Optimization 20203011628UNINA