Standard Steady State Genetic Algorithms Can Hillclimb Faster Than Mutation-Only Evolutionary Algorithms.
Dogan CorusPietro S. OlivetoPublished in: IEEE Trans. Evol. Comput. (2018)
Keyphrases
- steady state
- evolutionary algorithm
- genetic algorithm
- differential evolution
- fitness function
- multi objective
- evolutionary computation
- markov chain
- genetic operators
- mutation operator
- simulated annealing
- crossover operator
- multi objective optimization
- operating conditions
- evolution strategy
- evolutionary process
- steady states
- genetic programming
- explicit expressions
- queue length
- arrival rate
- state dependent
- product form
- differential evolution algorithm
- queueing networks
- population size
- fluid model
- heavy traffic
- evolutionary strategy
- variance estimator
- service times
- queueing model
- fitness landscape
- fuzzy logic
- particle swarm optimization pso