Suppose you want to solve a MIP with Benders decomposition and the binary variables ($y_i$) are fixed in the master problem but these variables are used in the sub-problem with bigM like $x_{ij} \le M.y_i \quad \lambda_{ij}$ where $\lambda_{ij}$ is the dual variable of these constraints. What is the best way to define dual problem and generate optimality and feasibility cuts? If $y_i=0$, then $x_{ij}=0$, while if $y_i=1$, the constraint $x_{ij} \le M.y_i $ will be redundant.
Thanks