Randomized Optimization: Analyzing Popular Techniques
Introduction Randomized Optimization involves a collection of optimization techniques allowing the computation of global minima in otherwise non-straightforward functions. Making these algorithms unique are tweaks which invoke randomness to expand the search space, preventing their halting when finding local minima. In this paper, we will discuss four common randomized optimization algorithms: randomized hill climbing, simulated … Read more