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Numerical and Evolutionary Optimization

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 th...

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Guardado en:
Autores principales: Lara, Adriana, Quiroz, Marcela, Schütze, Oliver, Mezura-Montes, Efrén
Formato: Online
Lenguaje:inglés
Publicado: MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:
TA1-2040
T1-995
model predictive control
bulbous bow
improvement differential evolution algorithm
evolutionary multi-objective optimization
location routing problem
flexible job shop scheduling problem
basic differential evolution algorithm
metric measure spaces
NEAT
genetic algorithm
multiobjective optimization
improved differential evolution algorithm
performance indicator
rubber
averaged Hausdorff distance
mixture experiments
U-shaped assembly line balancing
Genetic Programming
Local Search
driving events
surrogate-based optimization
single component constraints
crop planning
Pareto front
numerical simulations
shape morphing
genetic programming
economic crops
local search and jump search
model order reduction
optimal solutions
EvoSpace
risky driving
intelligent transportation systems
optimal control
IV-optimality criterion
Bloat
decision space diversity
modify differential evolution algorithm
power means
driving scoring functions
open-source framework
evolutionary computation
differential evolution algorithm
vehicle routing problem
multi-objective optimization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Acceso en línea:42655
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