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: E-Book
Sprache:Englisch
Veröffentlicht: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Schlagworte:
0-1 knapsack problem
ant colony optimization
assortative mating
binary whale optimization algorithm
bug detection
bWOA-S
bWOA-V
citation
classification
coevolution
constrained optimization
cuckoo search algorithm
decomposition-based multi-objective optimisation
differential evolution
dimensionality reduction
discrete artificial bee colony algorithm
diversity preservation
dominance
dynamic learning
elephant herding optimization
engineering optimization
evolutionary algorithm
evolutionary algorithms (EAs)
evolutionary computation
feature selection
fuzzing
fuzzy hybrid flow shop scheduling
game feature
game simulation
game trees
geoelectric model
global optimization
green shop scheduling
grey wolf optimizer
h-index
iterated local search
knapsack problem
knowledge transfer
krill herd
magnetotelluric
many-objective optimization
memetic algorithm
menu planning problem
metaheuristic
minimize makespan
minimize total energy consumption
multi-indicators
multi-metric
multi-objective optimization
multi-resources
multi-task evolutionary computation
multi-task optimization
mutation
one-dimensional inversions
opposite path
opposition-based learning
optimization problem
Pareto optimality
Pareto-front
particle swarm optimization
path discovery
performance indicators
playtesting
playtesting metric
premature convergence
Q-learning
quantum
quantum computing
ranking
seed schedule
self-adaptive step size
simulated annealing
single objective optimization
success-history
swarm intelligence
Technology, Engineering, Agriculture, Industrial processes
Technology: general issues
traveling salesman problems
travelling salesman problem
turning-based mutation
unified search space
universities ranking
validation
whale optimization algorithm
WOA
ISBN:9783036523941, 9783036523958, 3036523952, 3036523944
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Beschreibung
Zusammenfassung: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 optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.
ISBN:9783036523941
9783036523958
3036523952
3036523944
DOI:10.3390/books978-3-0365-2395-8