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

Authors:
Lei Tian;Liyan Han;Hai Huang
Affiliations:
School of Economics and Management, Beihang University, Beijing 100083, P.R. China;School of Economics and Management, Beihang University, Beijing 100083, P.R. China;School of Computer Science and Engineering, Beihang University, Beijing 100083, P.R. China
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Year:
2007

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Abstract

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.