Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum.
Longcan ChenLie Meng PangQingfu ZhangHisao IshibuchiPublished in: GECCO (2024)
Keyphrases
- evolutionary multi objective optimization
- computational cost
- times faster
- orders of magnitude
- theoretical justification
- convergence rate
- recently developed
- computationally efficient
- databases
- combinatorial optimization
- computational complexity
- stochastic approximation
- benchmark datasets
- learning algorithm
- genetic algorithm
- stopping criteria
- neural network