Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms.
Oliver SchützeCarlos A. Coello CoelloEmilia TantarEl-Ghazali TalbiPublished in: GECCO (2008)
Keyphrases
- approximate solutions
- stochastic search algorithms
- finite number
- multi objective optimization
- multi objective
- small number
- higher order
- probability distribution
- np hard
- neural network
- feature set
- higher level
- special case
- evolutionary algorithm
- image segmentation
- bi objective
- real numbers
- finite sets
- image processing