Optimisation: Hill-climbers
Hill-climbers and gradient-based Methods. Hill-climbing methods improve the value of the objective function from a single starting point by moving uphill (or downhill) in the direction which improves the design. Gradient-based methods use local gradient information to help choose the best direction to move in, and thus improve the rate at which a better solution is found. These methods work well where the objective function has a single maximum or minimum.