Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach.
David J. WalkerMatthew J. CravenPublished in: Appl. Soft Comput. (2020)
Keyphrases
- experimental evaluation
- expectation maximization
- learning algorithm
- cost function
- optimization algorithm
- genetic algorithm
- optimal solution
- computational complexity
- dynamic programming
- high accuracy
- parameter tuning
- times faster
- detection algorithm
- maximum likelihood
- maximum likelihood estimation
- parameter settings
- objective function
- preprocessing
- k means
- input data
- np hard
- computational cost
- parameter estimation
- computationally efficient
- linear programming
- worst case
- clustering method
- simulated annealing
- particle swarm optimization
- improved algorithm
- data sets
- parameter selection
- optimal parameters
- levenberg marquardt
- fine tuning
- optimisation algorithm