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Investigating the effects of population size and the number of subcomponents on the performance of SHADE algorithm with random adaptive grouping for LSGO problems.
Evgenii Sopov
Alexey Vakhnin
Published in:
GECCO (Companion) (2019)
Keyphrases
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expectation maximization
probabilistic model
population size
k means
learning algorithm
search space
particle swarm optimization
combinatorial optimization
convergence rate
knapsack problem
benchmark problems
parameter settings