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Evolutionary Computation

Evolutionary computation offers powerful problem-solving methodologies inspired by models of natural genetics and evolutionary processes. Potential applications are wide-ranging and include problems related to combinatorial optimization, numerical optimization, multi-objective optimization, and othe...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2025
Soggetti:
combinatorial optimization
evolutionary algorithms
fitness distance correlation
fitness landscape analysis
genetic algorithms
mutation
permutation cycles
permutation distance
metaheuristics
differential evolution
stigmergy
CUDA
micro-hyropower plant
layout optimization
Hermite splines
genetic algorithm
feature selection
classification
evolutionary computing
overweight
obesity
target coverage problem
directional sensor networks
discrete particle swarm optimization
fully informed particle swarm
self-adaptive differential evolution
particle swarm optimization
intelligence optimization algorithm
linkage system
vehicle wipers
global optimization
orthogonal search
parameterless
TROS
QROS
cross-validation
genetic programming
interaction location
SuperCDMS
symbolic regression
evolutionary optimization
multitask optimization
interactive
surrogate model
personalized recommendation
optimization
UAVs
wireless networks
potential fields
electric vehicles
charging station allocation
facility-to-site allocation
grid discretization
ERP
services composition
QoS optimization
context-aware
IoT-Fog cloud service ontology
multi-agent strategies
improved NSGA-II algorithm
n/a
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
Accesso online:ONIX_20250220_9783725821235_124
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