@inproceedings{eb405bb286a94a758cf6fd9c77ae9f3e,
title = "A compromise-based particle swarm optimization algorithm for solving Bi-level programming problems with fuzzy parameters",
abstract = "Bi-level programming has arisen to handle decentralized decision-making problems that feature interactive decision entities distributed throughout a bi-level hierarchy. Fuzzy parameters often appear in such a problem in applications and this is called a fuzzy bi-level programming problem. Since the existing approaches lack universality in solving such problems, this study aims to develop a particle swarm optimization (PSO) algorithm to solve fuzzy bi-level programming problems in the linear and nonlinear versions. In this paper, we first present a general fuzzy bi-level programming problem and discuss related theoretical properties based on a fuzzy number ranking method commonly used. A PSO algorithm is then developed to solve the fuzzy bi-level programming problem based on different compromised selections by decision entities on the feasible degree for constraint conditions under fuzziness. Lastly, an illustrative numerical example and two benchmark examples are adopted to state the effectiveness of the compromise-based PSO algorithm.",
keywords = "bi-level programming, compromise, fuzzy number, particle swarm optimization, swarm computing",
author = "Jialin Han and Yaoguang Hu and Guangquan Zhang and Jie Lu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2015 ; Conference date: 24-11-2015 Through 27-11-2015",
year = "2016",
month = jan,
day = "13",
doi = "10.1109/ISKE.2015.21",
language = "English",
series = "Proceedings - The 2015 10th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "214--221",
booktitle = "Proceedings - The 2015 10th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2015",
address = "United States",
}