A fast many-objective hypervolume algorithm using iterated incremental calculations.
Lucas BradstreetLyndon WhileLuigi BaronePublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- single pass
- times faster
- matching algorithm
- experimental evaluation
- preprocessing
- high accuracy
- optimization algorithm
- k means
- learning algorithm
- neural network
- improved algorithm
- computational cost
- simulated annealing
- path planning
- similarity measure
- detection algorithm
- dynamic programming
- worst case
- segmentation algorithm
- benchmark problems
- incremental learning
- convergence rate
- ant colony optimization
- objective function
- computational complexity
- theoretical analysis
- image quality
- data sets
- scheduling problem
- optimal solution
- cost function
- significant improvement