Dynamic hill climbing
Michael de la Maza and Deniz Yuret (1994)
( PS )
Dynamic hill climbing.
In this article we describe a new optimization algorithm, called
dynamic hill climbing (DHC), that draws on ideas from genetic
algorithms, hill climbing, and conjugate gradient methods. On
DeJong's five function test suite, a well known set of functions that
has been widely used to study optimization algorithms, dynamic hill
climbing outperforms genetic algorithms and simulated annealing, often
by a wide margin. DHC is currently being used in a medical imaging
system that helps brain surgeons to plan and execute operations.