Publication Date:
2024-04-11
Description:
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.
Keywords:
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
Language:
English
Format:
application/octet-stream
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