Journal
INFORMATION SCIENCES
Volume 188, Issue -, Pages 215-235Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2011.11.022
Keywords
Solid transportation problem; Rough sets; Multiple objective programming; Rough simulation-based genetic algorithm
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Funding
- National Science Foundation for Distinguished Young Scholars [70425005]
- NSFC, PR China [70831005]
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This paper establishes a rough multiple objective programming model for a solid transportation problem. Furthermore, a general model for rough multiple objective programming problem is presented. Properties of the feasible and efficient solutions of rough multiple objective programming problems are investigated. In addition, compromise solutions are obtained by using the interactive fuzzy satisfying method. To solve the rough multiple objective solid transportation problem, the rough simulation-based genetic algorithm is proposed, in which the rough simulation is embedded into the genetic algorithm. Finally, an application of the solid transportation problem at Xiluodu Hydropower Station is provided as an illustration. (C) 2011 Elsevier Inc. All rights reserved.
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