Improving Robustness of Stopping Multi-objective Evolutionary Algorithms by Simultaneously Monitoring Objective and Decision Space.
Md. Shahriar MahbubTobias WagnerLuigi CremaPublished in: GECCO (2015)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- test problems
- multi objective optimization
- grammar guided genetic programming
- decision making
- multi criteria
- multi objective problems
- search space
- evolutionary algorithm
- genetic programming
- multiobjective optimization
- nsga ii
- fitness function
- decision makers
- pareto optimal solutions
- real time
- fuzzy logic
- high dimensional
- bi objective
- search algorithm
- machine learning
- neural network