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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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Hlavní autoři: Lara, Adriana, Quiroz, Marcela, Schütze, Oliver, Mezura-Montes, Efrén
Médium: Online
Jazyk:angličtina
Vydáno: MDPI - Multidisciplinary Digital Publishing Institute 2021
Témata:
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
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Shrnutí: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.

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