03606nam 2200877z- 450 991036774410332120231214133453.03-03921-817-4(CKB)4100000010106276(oapen)https://directory.doabooks.org/handle/20.500.12854/54914(EXLCZ)99410000001010627620202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNumerical and Evolutionary OptimizationMDPI - Multidisciplinary Digital Publishing Institute20191 electronic resource (230 p.)3-03921-816-6 This book was established after the 6th 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.model predictive controlbulbous bowimprovement differential evolution algorithmevolutionary multi-objective optimizationlocation routing problemflexible job shop scheduling problembasic differential evolution algorithmmetric measure spacesNEATgenetic algorithmmultiobjective optimizationimproved differential evolution algorithmperformance indicatorrubberaveraged Hausdorff distancemixture experimentsU-shaped assembly line balancingGenetic ProgrammingLocal Searchdriving eventssurrogate-based optimizationsingle component constraintscrop planningPareto frontnumerical simulationsshape morphinggenetic programmingeconomic cropslocal search and jump searchmodel order reductionoptimal solutionsEvoSpacerisky drivingintelligent transportation systemsoptimal controlIV-optimality criterionBloatdecision space diversitymodify differential evolution algorithmpower meansdriving scoring functionsopen-source frameworkevolutionary computationdifferential evolution algorithmvehicle routing problemmulti-objective optimizationLara Adrianaauth1301160Quiroz MarcelaauthSchütze OliverauthMezura-Montes EfrénauthBOOK9910367744103321Numerical and Evolutionary Optimization3025742UNINA