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Evolutionary Computation

Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological...

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Salvato in:
Autori principali: Alavi, Amir, Wang, Gai-Ge
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2021
Soggetti:
TA1-2040
T1-995
individual updating strategy
integrated design
global optimum
flexible job shop scheduling problem
whale optimization algorithm
EHO
bat algorithm with multiple strategy coupling (mixBA)
multi-objective DV-Hop localization algorithm
optimization
rock types
variable neighborhood search
biology
average iteration times
CEC2013 benchmarks
slicing tree structure
firefly algorithm (FA)
benchmark
single loop
evolutionary computation
memetic algorithm
normal cloud model
0-1 knapsack problems
elite strategy
diversity maintenance
material handling path
artificial bee colony algorithm (ABC)
urban design
entropy
evolutionary algorithms (EAs)
monarch butterfly optimization
numerical simulation
architecture
set-union knapsack problem
Wilcoxon test
convolutional neural network
global position updating operator
particle swarm optimization
computation
minimum load coloring
topology structure
adaptive multi-swarm
minimum total dominating set
mutation operation
shape grammar
greedy optimization algorithm
?-Hilbert space
genetic algorithm
large scale optimization
large-scale optimization
NSGA-II-DV-Hop
constrained optimization problems (COPs)
first-arrival picking
transfer function
SPEA 2
stochastic ranking (SR)
wireless sensor networks (WSNs)
acceleration search
convergence point
fuzzy c-means
evolutionary algorithm
success rates
Artificial bee colony
particle swarm optimizer
random weight
range detection
adaptive weight
large-scale
automatic identification
cloud model
swarm intelligence
evolutionary multi-objective optimization
DV-Hop algorithm
bat algorithm (BA)
Friedman test
quantum uncertainty property
facility layout design
local search
deep learning
Y conditional cloud generator
benchmark functions
discrete algorithm
dispatching rule
DE algorithm
nonlinear convergence factor
energy-efficient job shop scheduling
t-test
evolution
dimension learning
global optimization
confidence term
elephant herding optimization
moth search algorithm
evolutionary
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
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