@inproceedings{d49ec5922a4943acac47c052d2e51089,
title = "A Neurodynamic Approach to Multiobjective Linear Programming",
abstract = "In this paper, a neurodynamic approach is proposed for solving multiobjective linear programming problems. Multiple objectives are firstly scalarized using a weighted sum technique. Recurrent neural networks are then adopted to generate Pareto-optimal solutions. To diversify the solutions along Pareto fronts, particle swarm optimization is used to optimize the weights of the scalarized objective function. Numerical results are presented to illustrate the effectiveness of the proposed approaches.",
keywords = "Linear programming, Multiobjective optimization, Neurodynamic optimization, Recurrent neural network",
author = "Man-Fai Leung and Jun Wang",
year = "2018",
month = jun,
doi = "10.1007/978-3-319-92537-0_2",
language = "English",
isbn = "9783319925363",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "11--18",
editor = "Huang, {Tingwen } and Jiancheng Lv and {Sun }, {Changyin } and Tuzikov, {Alexander V. }",
booktitle = "Advances in Neural Networks - ISNN 2018",
address = "Germany",
note = "15th International Symposium on Neural Networks (ISNN 2018) ; Conference date: 25-06-2018 Through 28-06-2018",
}