An evolutionary algorithm based on approximation method and related techniques for solving bilevel programming problems.

ABSTRACT: In the engineering and economic management fields, optimisation models frequently involve different decision-making levels. These are known as multi-level optimisation problems. Because the decision-making process of such problems are hierarchical, they are also called a hierarchical optimisation problems. When the problem involves only two-level decision-making, the corresponding optimisation model is referred to as a bilevel programming problem(BLPP). To address the complex nonlinear bilevel programming problem, in this study, we design an evolutionary algorithm embedded with a surrogate model-that it is a approximation method and correlation coefficients. First, the isodata method is used to group the initial population, and the correlation coefficients of the individuals in each group

SUBMITTER: Liu Y 

PROVIDER: S-EPMC9426897 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature