Three-objective fuzzy chance-constrained programming model for multiproject and multi-item investment combination

  • Bin Xu*
  • , Weiguo Fang
  • , Ruifeng Shi
  • , Jing Yu
  • , Lu Liu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a new fuzzy chance-constrained programming model to find the solution for multiproject and multi-item investment combination in investment combination problems. The proposed 0-1 integer programming model has three objectives with fuzzy constraints, and NSGA-II is applied to solve the optimization model with a small modification of the constraint-handling rule. A simulation experiment illustrating the application of the proposed model is presented and Pareto-optimal solutions are obtained through a modified NSGA-II algorithm. A comparison among NSGA-II, PSO, and DE shows that modified NSGA-II has some advantages over PSO and DE.

Original languageEnglish
Pages (from-to)623-641
Number of pages19
JournalInformation Sciences
Volume179
Issue number5
DOIs
StatePublished - 15 Feb 2009

Keywords

  • Fuzzy chance-constrained
  • Investment combination
  • Multiproject-multiple-item
  • NSGA-II

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