An EDA for Solving Linear Fractional Bilevel Programming Problems

DOI

10.2991/icitme-18.2018.39How to use a DOI?

Keywords

estimation of distribution algorithm; linear fractional bilevel programming problems; probability distribution; optimal solutions

Abstract

Heuristic algorithms have attracted great attention in dealing with bilevel programming problems in recent years. In this manuscript, a novel approach termed estimation of distribution algorithm (EDA) is developed to solve a special class of bilevel programming problem, the linear fractional bilevel programming problem. With this method, individuals are encoded with integer strings whose components are the column indices associated with the bases of the follower. Offspring is created from a distribution via modeling selected superior individuals. Numeral results have illustrated the feasibility and efficiency of the proposed algorithm.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huafei Chen
AU  - Hecheng Li
AU  - Jing Huang
PY  - 2018/08
DA  - 2018/08
TI  - An EDA for Solving Linear Fractional Bilevel Programming Problems
BT  - Proceedings of the 2018 International Conference on Information Technology and Management Engineering (ICITME 2018)
PB  - Atlantis Press
SP  - 196
EP  - 200
SN  - 1951-6851
UR  - https://doi.org/10.2991/icitme-18.2018.39
DO  - 10.2991/icitme-18.2018.39
ID  - Chen2018/08
ER  -