Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation.
Damy M. F. HaTimo M. DeistPeter A. N. BosmanPublished in: PPSN (2) (2022)
Keyphrases
- dynamic resource allocation
- evolutionary algorithm
- nsga ii
- multi objective
- evolutionary computation
- uniform design
- optimization problems
- differential evolution
- cost function
- fitness function
- multi objective optimization
- crossover operator
- genetic programming
- allocation policies
- resource allocation
- candidate solutions
- genetic operators
- simulated annealing
- genetic algorithm
- evolution strategy
- multiobjective optimization
- harmony search
- differential evolution algorithm
- constrained multi objective optimization problems
- optimization method
- multiobjective evolutionary algorithm
- evolutionary strategy
- objective function
- evolutionary search
- mutation operator
- loss function
- learning rules
- optimization algorithm
- neural network
- hyper heuristics
- multi objective evolutionary algorithms