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TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems.
Yan Kang
Haining Wang
Bin Pu
Jiansong Liu
Shin-Jye Lee
Xuekun Yang
Liu Tao
Published in:
Neural Comput. Appl. (2023)
Keyphrases
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knapsack problem
dynamic programming
learning algorithm
np hard
objective function
test problems
computational complexity
k means
optimal solution
search space
upper bound
worst case
optimization algorithm
mathematical model
machine learning
piecewise linear
solution quality
bicriteria
convergence rate
detection algorithm
particle swarm optimization
optimization problems
simulated annealing
feature vectors