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Using the successful moves

This chapter will explain the application of the third key idea as a means of improving efficiency:

Last chapter, we introduced the difficulty of traversing narrow ridges in the search space. In objective functions for which the gradient information is not available, finding a favorable direction to move is a hard problem. I propose an adaptive solution, where the algorithm uses its best guess for the gradient direction, and updates this guess after successful moves. This approach improves efficiency substantially---sometimes by an order of magnitude---and is scalable to high dimensional problems.





Deniz Yuret
Tue Apr 1 21:38:29 EST 1997