LEADER 03606nam  2200877z- 450 
001 9910367744103321
005 20231214133453.0
010   $a3-03921-817-4
035   $a(CKB)4100000010106276
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54914
035   $a(EXLCZ)994100000010106276
100   $a20202102d2019      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aNumerical and Evolutionary Optimization
210   $cMDPI - Multidisciplinary Digital Publishing Institute$d2019
215   $a1 electronic resource (230 p.)
311   $a3-03921-816-6 
330   $aThis 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.
610   $amodel predictive control
610   $abulbous bow
610   $aimprovement differential evolution algorithm
610   $aevolutionary multi-objective optimization
610   $alocation routing problem
610   $aflexible job shop scheduling problem
610   $abasic differential evolution algorithm
610   $ametric measure spaces
610   $aNEAT
610   $agenetic algorithm
610   $amultiobjective optimization
610   $aimproved differential evolution algorithm
610   $aperformance indicator
610   $arubber
610   $aaveraged Hausdorff distance
610   $amixture experiments
610   $aU-shaped assembly line balancing
610   $aGenetic Programming
610   $aLocal Search
610   $adriving events
610   $asurrogate-based optimization
610   $asingle component constraints
610   $acrop planning
610   $aPareto front
610   $anumerical simulations
610   $ashape morphing
610   $agenetic programming
610   $aeconomic crops
610   $alocal search and jump search
610   $amodel order reduction
610   $aoptimal solutions
610   $aEvoSpace
610   $arisky driving
610   $aintelligent transportation systems
610   $aoptimal control
610   $aIV-optimality criterion
610   $aBloat
610   $adecision space diversity
610   $amodify differential evolution algorithm
610   $apower means
610   $adriving scoring functions
610   $aopen-source framework
610   $aevolutionary computation
610   $adifferential evolution algorithm
610   $avehicle routing problem
610   $amulti-objective optimization
700   $aLara$b Adriana$4auth$01301160
702   $aQuiroz$b Marcela$4auth
702   $aSchütze$b Oliver$4auth
702   $aMezura-Montes$b Efrén$4auth
906   $aBOOK
912   $a9910367744103321
996   $aNumerical and Evolutionary Optimization$93025742
997   $aUNINA