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A Genetic Algorithm-Based Double-Objective Multi-constraint Optimal Cross-Region Cross-Sector Public Investment Model

  • Tian Lei
  • Liu Lieli
  • Han Liyan
  • Huang Hai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

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.

Keywords

Public Investment Optimal Objective Function Simple Labor Capital Transfer Aggregative Production Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tian Lei
    • 1
  • Liu Lieli
    • 1
  • Han Liyan
    • 1
  • Huang Hai
    • 2
  1. 1.School of Economics and ManagementBeihang UniversityBeijingP.R. China
  2. 2.School of Computer Science and EngineeringBeihang UniversityBeijingP.R. China

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