Definition: In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.
Input: CMA-ES [7, 8] is the state-of-the-art evolutionary optimization method, at least in the area of continuous black-box optimization. Basically, it consists in generating new search points by sampling from a multidimensional normal distribtion, the mean and variance of which are updated from generation to generation. In particular, the population x (g+1) 1 , . . . , x (g+1) R d of the g + 1-st generation, g 1, follows the normal distribution with mean m R and variance ()C R resulting from the update in the g-th generation,
Output:
Two Gaussian Approaches to Black-Box Optomization