IEEE

Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins

Abstract: Univariate Marginal Distribution Algorithms (UMDAs) are a kind of Estimation of Distribution Algorithms (EDAs) which do not consider the dependencies among the variables. In this paper, on ...

Joint Distributions and Marginal Distributions: The Story of How I Never Understood the Meaning of 'Marginal'

It all started with the summary tables I was always looking atEvery time I created a survey summary table for work, a row and ...
IEEE

Adaptive population size for univariate marginal distribution algorithm

Abstract: Population size is an important parameter in univariate marginal distribution algorithm (UMDA). Too large or too small value both goes against its search. A good population sizing method ...
note

Joint Distribution and Marginal Distribution

・"Male × Coffee = 10 people" ・"Female × Tea = 12 people" and other intersecting parts are the joint distribution. In other words, it is a state where you are looking at two variables, "gender" and ...