You are optimising a complex function with many local minima and maxima. Which of the following are likely to help you find the global minimum value?多项选择题
A
Running multiple optimisations starting from random positions to overcome being trapped in local minima.
B
Bounding the magnitude of update to decision variable, for example | 𝑥 𝑖 + 1 − 𝑥 𝑖 | ≤ 𝛼 to ensure the optimiser does not overshoot the wanted value.
C
Use gradient descent with a very small update value to ensure the minimum is met.
D
Intentially increasing a cost function with some probability at each iteration whilst keeping track of the best state so as to move out of local minima.
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