Name
Abstract | ||
|---|---|---|
Transportation network design problem (NDP) is inherently multi-objective in nature, because it involves a number of stakeholders with different needs. In addition, the decision-making process sometimes has to be made under uncertainty where certain inputs are not known exactly. In this paper, we develop three stochastic multi-objective models for designing transportation network under demand uncertainty. These three stochastic multi-objective NDP models are formulated as the expected value multi-objective programming (EVMOP) model, chance constrained multi-objective programming (CCMOP) model, and dependent chance multi-objective programming (DCMOP) model in a bi-level programming framework using different criteria to hedge against demand uncertainty. To solve these stochastic multi-objective NDP models, we develop a solution approach that explicitly optimizes all objectives under demand uncertainty by simultaneously generating a family of optimal solutions known as the Pareto optimal solution set. Numerical examples are also presented to illustrate the concept of the three stochastic multi-objective NDP models as well as the effectiveness of the solution approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.eswa.2009.06.048 | Expert Syst. Appl. |
Keywords | DocType | Volume |
stochastic multi-objective model,network design problem,multi-objective,user equilibrium,bi-level program,stochastic multi-objective ndp model,network design,multi-objective programming,genetic algorithm,bi-level programming framework,optimal solution,solution approach,pareto optimal solution set,demand uncertainty,dependent chance multi-objective programming,traffic assignment,expected value multi-objective programming,stochastic program,object model,expected value,stochastic programming,decision making process | Journal | 37 |
Issue | ISSN | Citations |
2 | Expert Systems With Applications | 26 |
PageRank | References | Authors |
1.12 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anthony Chen | 1 | 209 | 18.25 |
| Juyoung Kim | 2 | 26 | 1.12 |
| Seung-Jae Lee | 3 | 227 | 40.12 |
| Youngchan Kim | 4 | 31 | 4.82 |