Standard Steady State Genetic Algorithms Can Hillclimb Faster than Mutation-only Evolutionary Algorithms.
Dogan CorusPietro S. OlivetoPublished in: CoRR (2017)
Keyphrases
- steady state
- evolutionary algorithm
- genetic algorithm
- differential evolution
- fitness function
- multi objective
- evolutionary computation
- genetic operators
- markov chain
- mutation operator
- simulated annealing
- multi objective optimization
- product form
- genetic programming
- crossover operator
- explicit expressions
- operating conditions
- evolution strategy
- evolutionary process
- heavy traffic
- initial population
- queueing networks
- queue length
- nsga ii
- fluid model
- state dependent
- differential evolution algorithm
- steady states
- genetic algorithm ga
- evolutionary strategy
- variance estimator
- service times
- queueing model
- arrival rate
- optimization algorithm
- fitness landscape
- limit cycle
- single server queue
- fuzzy logic
- neural network