Stochastic Hillclimbing as a Baseline Mathod for Evaluating Genetic Algorithms.
Ari JuelsMartin WattenbergPublished in: NIPS (1995)
Keyphrases
- genetic algorithm
- neural network
- evolutionary algorithm
- learning automata
- evolutionary computation
- modular neural networks
- artificial neural networks
- multi objective
- fuzzy logic
- simulated annealing
- particle swarm optimization
- parallel genetic algorithms
- stochastic models
- population size
- stochastic processes
- optimization method
- fitness function
- genetic programming
- probabilistic model
- monte carlo
- evolution strategy
- stochastic model
- real time
- artificial intelligence
- information retrieval
- data sets