(2016) proposed a heuristic algorithm with reduced numbers of variables and constraints to solve a kind of collaborative train timetabling and platforming problems. Yang et al. (2016) applied the optimization CPLEX solver to the multi-objective mixed integer programming model for optimizing the train...
The continuous module simulates control system dynamics with an ODE solver. It takes inputs of control signals, and produces system responses as output, which can then be used to calculate the performance index. The system dynamic model that is used can either be obtained from first principles ...
In this section, we illustrate how to implement a multi-priority scheduling algorithm based on abstract syntax tree analysis to mitigate the state space explosion problem encountered in path exploration techniques. Before illustrating the technical details, we will first discuss how to define the covera...
The accuracy of the solution provided by an MILP Solver method is its significant advantage. If the problem is clearly specified, the solution obtained with the MILP Solver is the optimum one [49]. In the current work, the linear load flow has been used. Many researchers created techniques ...