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Evolutionary Computation 2020

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimiza...

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Format: Online
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
global optimization
cuckoo search algorithm
Q-learning
mutation
self-adaptive step size
evolutionary computation
playtesting
game feature
game simulation
game trees
playtesting metric
validation
Pareto optimality
h-index
ranking
dominance
Pareto-front
multi-indicators
multi-metric
multi-resources
citation
universities ranking
swarm intelligence
simulated annealing
krill herd
particle swarm optimization
quantum
elephant herding optimization
engineering optimization
metaheuristic
constrained optimization
multi-objective optimization
single objective optimization
differential evolution
success-history
premature convergence
turning-based mutation
opposition-based learning
ant colony optimization
opposite path
traveling salesman problems
whale optimization algorithm
WOA
binary whale optimization algorithm
bWOA-S
bWOA-V
feature selection
classification
dimensionality reduction
menu planning problem
evolutionary algorithm
decomposition-based multi-objective optimisation
memetic algorithm
iterated local search
diversity preservation
single-objective optimization
knapsack problem
travelling salesman problem
seed schedule
many-objective optimization
fuzzing
bug detection
path discovery
evolutionary algorithms (EAs)
coevolution
dynamic learning
performance indicators
magnetotelluric
one-dimensional inversions
geoelectric model
optimization problem
multi-task optimization
multi-task evolutionary computation
knowledge transfer
assortative mating
unified search space
quantum computing
grey wolf optimizer
0-1 knapsack problem
green shop scheduling
fuzzy hybrid flow shop scheduling
discrete artificial bee colony algorithm
minimize makespan
minimize total energy consumption
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Online Access:ONIX_20220111_9783036523941_868
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