In this study, the problem of project selection and scheduling with resource management is considered setup times, dynamic arrivals, priorities relationship between projects. A fuzzy multi-objective mixed integer linear programming (MILP) model proposed for solution problem. The classic two-phase goal (FGP) approach modified to solve MILP model. addressed defined over a construction company. ef...

To overcome the inability of Description Logics (DLs) to represent vague or imprecise information, several fuzzy extensions have been proposed in the literature. In this context, an important family of reasoning algorithms for fuzzy DLs is based on a combination of tableau algorithms and Operational Research (OR) problems, specifically using Mixed Integer Linear Programming (MILP). In this pape...

Recent experiments by Fischetti and Lodi show that the first Chvátal closure of a pure integer linear program (ILP) often gives a surprisingly tight approximation of the integer hull. They optimize over the first Chvátal closure by modeling the Chvátal–Gomory (CG) separation problem as a mixed integer linear program (MILP) which is then solved by a generalGérard Cornuéjols was supported in part...

Real-time timetable scheduling is an effective way to improve passenger satisfaction and reduce operational costs in urban rail transit networks. In this paper, a novel passenger-oriented network model developed for real-time that can time-dependent origin-destination demands with consideration of balanced trade-off between accuracy computation speed. Then, predictive control (MPC) approach pro...

As urban traffic congestion is on the increase worldwide, it is critical to maximize capacity and throughput of existing road infrastructure through optimized traffic signal control. To this end, we build on the body of work in mixed integer linear programming (MILP) approaches that attempt to jointly optimize traffic signal control over an entire traffic network and specifically on improving t...

Though the logical correctness of an asynchronous circuit is independent of implementation delays, the cycle time of an asynchronous circuit is of great importance to the designer. Oftentimes, the insertion of buffers to such circuits reduces the cycle time of the circuit without affecting the logical correctness of the circuit. This optimization is called slack matching. In this thesis the sla...

We study an assignment type resource-constrained project scheduling problem with resources being multi-skilled personnel to minimize the total staffing costs. We develop a hybrid Benders decomposition (HBD) algorithm that combines the complimentary strengths of both mixed-integer linear programming (MILP) and constraint programming (CP) to solve this NP-hard optimization problem. An effective c...

1 As urban traffic congestion is on the increase worldwide, it is critical to maximize capacity and 2 throughput of existing road infrastructure through optimized traffic signal control. To this end, we 3 build on the body of work in mixed integer linear programming (MILP) approaches that attempt to 4 jointly optimize traffic signal control over an entire traffic network and specifically on imp...

This study presents a MILP model to retrieve or get close to the early schedule of disrupted container vessels. The model is appliedon a realcase study of Islamic Republic of Iran Shipping Lines (IRISL) considering container demands, and CO2 emissionssolvedwith CPLEX GAMS solver in less than a minute. Sensitivity analysis on fuel inventory level shows the inevitable influence of the ...

The multi-agent surveillance problem is to find optimal trajectories of multiple agents that patrol a given area as evenly possible. In this paper, we consider the based on travel cost minimization. by an undirected graph. penalty for each agent introduced evaluate performance. Through mixed logical dynamical system model, multiagent reduced integer linear programming (MILP) problem. model pred...