) evolutionary algorithm with self-adjusting mutation rate.
Benjamin DoerrChristian GießenCarsten WittJing YangPublished in: GECCO (2017)
Keyphrases
- mutation rate
- evolutionary algorithm
- multi objective
- fitness function
- optimization problems
- evolutionary computation
- fitness landscape
- genetic algorithm
- genetic programming
- differential evolution
- simulated annealing
- multi objective optimization
- evolution strategy
- differential evolution algorithm
- evolutionary computing
- neural network
- optimization method
- genetic operators
- evolutionary search
- population size
- particle swarm
- evolutionary process
- optimization algorithm
- mutation operator
- genetic algorithm ga