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We define First - Choice Hill Climbing ( FCHC ) as a stochastic hill - climbing algorithm that generates neighbours randomly until one is found
We define FirstChoice Hill Climbing FCHC as a stochastic hillclimbing algorithm that generates neighbours randomly until one is found better than the current state. When this happens, the algorithm moves to this new state and repeats.
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FCHC is similar to Simulated Annealing for large values of T
FCHC will always return the same solution as Greedy Hill Climbing as we always take a step in the direction of increasing slope.
FCHC will perform better than Greedy Hill Climbing when each state has a large number of neighbours.
FCHC combined with Tabu List does not suffer from local maximasminimas
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