@inproceedings{ddb243c7a38946e2accb4ae57efe2fbb,
title = "A genetic algorithm-based double-objective multi-constraint optimal cross-region cross-sector public investment model",
abstract = "An optimal public investment model with two objective functions considering efficiency \& equity and several constraints such as taxes and capital transfer loss are established by dividing public \& private sectors and relaxing several original hypotheses respectively. And the objective functions and constraints are handled to adapt the model into the double-objective multi-constraint programming model suitable for genetic algorithm-based solution. Then encoding and decoding approaches are designed. Finally a case study is carried out to validate the proposed model and the GA-based solution.",
author = "Tian Lei and Liu Lieli and Han Liyan and Huang Hai",
year = "2006",
doi = "10.1007/11881223\_58",
language = "英语",
isbn = "3540459073",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "470--479",
booktitle = "Advances in Natural Computation - Second International Conference, ICNC 2006, Proceedings",
address = "德国",
note = "2nd International Conference on Natural Computation, ICNC 2006 ; Conference date: 24-09-2006 Through 28-09-2006",
}