Using density of training data to improve evolutionary algorithms with approximative fitness functions.
Christina PlumpBernhard J. BergerRolf DrechslerPublished in: CEC (2022)
Keyphrases
- evolutionary algorithm
- fitness function
- training data
- genetic programming
- multi objective
- evolutionary computation
- genetic algorithm ga
- optimization problems
- genetic algorithm
- differential evolution
- simulated annealing
- genetic operators
- evolutionary process
- differential evolution algorithm
- evolutionary search
- multi objective optimization
- particle swarm
- learning algorithm
- evolution strategy
- crossover operator
- initial population
- test data
- metaheuristic
- benchmark problems
- neural network
- penalty function
- active learning
- evolutionary strategy