Discuss the advantage and disadvantage of a small step size
versus a large step size in simulated annealing.
Simulated Annealing can be defined as an algorithm used for multi-parameter model optimization which can be developed relatively faster.
Large step size in simulated annealing:
Advantages:
(i) It will take less time.
(ii) Implementation will be easier.
(iii) The solution provided is more optimized as the unimodal functions improves.
Disadvantages:
(i) It will provide less accuracy.
Small step size in simulated annealing:
Advantages:
(i) The accuracy will be higher.
Disadvantages:
(i) Number of tuneable parameters increase.
(ii) It will take more time to run.
(iii) Implementation will be comparatively more complicated.
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