Multi-objective Optimal Public Investment: An Extended Model and Genetic Algorithm-Based Case Study

  • Lei Tian
  • Liyan Han
  • Hai Huang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4431)


Under the multi-region and multi-sector consideration, the previous double-objective optimal public investment model is extended to involve optimal employment rate objective and time-flow total income maximization objective first. Then genetic algorithm is applied to solve the multi-objective model. Finally a case study is carried out to verify the superiority of the genetic algorithm-based solution to traditional public investment distribution approach.


Genetic Algorithm Employment Rate Public Investment Total Income Binary String 
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 Berlin Heidelberg 2007

Authors and Affiliations

  • Lei Tian
    • 1
  • Liyan Han
    • 1
  • Hai Huang
    • 2
  1. 1.School of Economics and Management, Beihang University, Beijing 100083P.R. China
  2. 2.School of Computer Science and Engineering, Beihang University, Beijing 100083P.R. China

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