Abstract This paper presents an optimization method to solve a multi-objective model of bi-level linear programming problem with intuitionistic fuzzy coefficients. The idea is based on TOPSIS (technique for order preference by similarity ideal solution) method. multiple criteria that identifies satisfactory solution from given set alternatives the minimization distance point and maximization na...

In this study, a fuzzy bi-level chance constraint programming (FBCP) model is developed for urban ecological management in Xiamen, China. FBCP has advantages balancing trade-offs between multiple decision makers and can address stochastic uncertainty ecosystem management. It also reflect the impact of different violation risk levels emission reduction measures on system benefit, service value, ...

For power retailers in a smart grid, it is necessary to design an economic dispatch method maintain balance between supply and demand on the sale side as well obtain better benefits. This study concentrates of dominant retailer regional market. The considered be equipped with generator resources such distributed photovoltaics (PV), wind turbines (WT), microturbines (MT). As one cannot exactly p...

The optimization of offshore wind farms is mainly performed through the deployment and submarine cables to maximize power output minimize cable costs. However, above results are affected by wake effect, equipment layout, cost cables. To effectively complete turbines lines, first, a bi-level constrained model based on maximum profit shortest route proposed in this paper; then, differential evolu...

The planning of urban bus-only lane networks is an important measure to improve bus service and bus priority. To determine the effective arrangement of bus-only lanes, a bi-level programming model for urban bus lane layout is developed in this study that considers accessibility and budget constraints. The goal of the upper-level model is to minimize the total travel time, and the lower-level mo...