The ( $$1+\lambda $$ 1 + λ ) Evolutionary Algorithm with Self-Adjusting Mutation Rate.
Benjamin DoerrChristian GießenCarsten WittJing YangPublished in: Algorithmica (2019)
Keyphrases
- mutation rate
- evolutionary algorithm
- multi objective
- fitness function
- evolutionary computation
- optimization problems
- differential evolution
- genetic algorithm
- fitness landscape
- genetic operators
- multi objective optimization
- genetic programming
- simulated annealing
- population size
- mutation operator
- evolution strategy
- differential evolution algorithm
- crossover operator
- particle swarm
- evolutionary computing
- artificial intelligence
- population dynamics
- particle swarm optimization
- soft computing
- optimization method
- initial population
- cooperative
- neural network