Stochastic hill climbing
Stochastic hill climbing is a variant of the basic hill climbing method. While basic hill climbing always chooses the steepest uphill move, "stochastic hill climbing chooses at random from among the uphill moves; the probability of selection can vary with the steepness of the uphill move."[1][2]
See also[]
References[]
- ^ Russell, S.; Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall. ISBN 978-0136042594.
- ^ Dawkins, R. (2006). The Selfish Gene (3rd ed.). Oxford University Press. ISBN 0199291144.
Categories:
- Optimization algorithms and methods
- Artificial intelligence stubs