In this paper, a fuzzy quadratic minimum spanning tree problem is formulated as expected value model, chance-constrained programming and dependent-chance programming according to different decision criteria. Then the crisp equivalents are derived when the fuzzy costs are characterized by trapezoidal fuzzy numbers. Furthermore, a simulation-based genetic algorithm using Prüfer number representat...

This research studies a transportation problem to minimize total cost under the rough interval approximation by considering multi-modal transport framework, referred here as Multi-Modal Transportation Problem (MMTP). The parameters of MMTP are intervals, because is chosen from real-life scenario. To solve environment, we employ chance-constrained programming and expected value operator for then...

Gas-fired power plants are commonly employed to deal with the intermittency of renewable energy resources due their flexible characteristics. Therefore, in system transmits gas through gas-fired plants, which makes operation these systems even more interdependent. This study proposes a novel possibilistic model for integrated and presence electric vehicles demand response. The takes into accoun...

Uncertainties may have a large impact on equipment decisions, plant operability, and economic analysis. Thus the consideration of uncertainties in optimization approaches is necessary for robust process design and operation. As a part of it, efficient chance constrained programming has become an important field of research in process systems engineering. In this work, a new approach is proposed...