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
Stochastic gradient descent
References
Russell, S.; Norvig, P. (2010). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall. ISBN 0136042597.
Dawkins, R. (2006). The Selfish Gene (3rd ed.). Oxford University Press. ISBN 0199291144.
Undergraduate Texts in Mathematics
Graduate Studies in Mathematics
Hellenica World - Scientific Library
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