Effect of increasing the energy gap between the two lowest energy states on the mixing time of the Metropolis algorithm.
Apurv NakadeSomenath BiswasPublished in: Inf. Process. Lett. (2012)
Keyphrases
- simulated annealing
- optimization algorithm
- matching algorithm
- detection algorithm
- experimental evaluation
- expectation maximization
- learning algorithm
- minimum energy
- state variables
- objective function
- improved algorithm
- times faster
- particle swarm optimization
- convergence rate
- energy consumption
- worst case
- cost function
- significant improvement
- k means
- computational complexity
- similarity measure
- data sets
- computationally efficient
- clustering method
- search algorithm
- energy minimization
- recognition algorithm
- data structure
- genetic algorithm