Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms.
Abhinav GaurKalyanmoy DebPublished in: GECCO (Companion) (2016)
Keyphrases
- faster convergence
- evolutionary multi objective optimization
- learning algorithm
- recently developed
- computationally efficient
- times faster
- convergence rate
- adaptive algorithms
- feature space
- computational cost
- genetic programming
- benchmark datasets
- computational complexity
- artificial neural networks
- optimization problems
- orders of magnitude
- computational efficiency
- neural network