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Título de Acceso Abierto
Evolutionary Computation 2020
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
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
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No requiere | Directory of Open access Books |
Información
Tipo de recurso:
libros
ISBN electrónico
978-3-0365-2395-8
País de edición
Suiza