TY  - BOOK
AU  - Lara, Adriana
AU  - Quiroz, Marcela
AU  - Schütze, Oliver
AU  - Mezura-Montes, Efrén
AB  - 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.
DO  - 10.3390/books978-3-03921-817-2
ID  - OAPEN ID: 42655
KW  - model predictive control
KW  - bulbous bow
KW  - improvement differential evolution algorithm
KW  - evolutionary multi-objective optimization
KW  - location routing problem
KW  - flexible job shop scheduling problem
KW  - basic differential evolution algorithm
KW  - metric measure spaces
KW  - NEAT
KW  - genetic algorithm
KW  - multiobjective optimization
KW  - improved differential evolution algorithm
KW  - performance indicator
KW  - rubber
KW  - averaged Hausdorff distance
KW  - mixture experiments
KW  - U-shaped assembly line balancing
KW  - Genetic Programming
KW  - Local Search
KW  - driving events
KW  - surrogate-based optimization
KW  - single component constraints
KW  - crop planning
KW  - Pareto front
KW  - numerical simulations
KW  - shape morphing
KW  - genetic programming
KW  - economic crops
KW  - local search and jump search
KW  - model order reduction
KW  - optimal solutions
KW  - EvoSpace
KW  - risky driving
KW  - intelligent transportation systems
KW  - optimal control
KW  - IV-optimality criterion
KW  - Bloat
KW  - decision space diversity
KW  - modify differential evolution algorithm
KW  - power means
KW  - driving scoring functions
KW  - open-source framework
KW  - evolutionary computation
KW  - differential evolution algorithm
KW  - vehicle routing problem
KW  - multi-objective optimization
L1  - https://mdpi.com/books/pdfview/book/1812
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/54914
PB  - MDPI - Multidisciplinary Digital Publishing Institute
PY  - 2019
SN  - 9783039218172
SN  - 9783039218165
TI  - Numerical and Evolutionary Optimizationnull
ER  - 
