A Quantum-inspired Algorithm for General Minimum Conical Hull Problems.
Yuxuan DuMin-Hsiu HsiehTongliang LiuDacheng TaoPublished in: CoRR (2019)
Keyphrases
- quantum inspired
- benchmark problems
- optimization algorithm
- cost function
- dynamic programming
- test problems
- learning algorithm
- convex hull
- optimization problems
- search space
- np hard
- levenberg marquardt
- quantum computing
- objective function
- simulated annealing
- wireless networks
- convergence rate
- artificial neural networks
- search algorithm