Integer programming, a cornerstone of combinatorial optimisation, focuses on the selection of discrete decision variables to solve complex real‐world problems such as scheduling, network design and ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

This project addresses the Cell Tower Coverage Problem using Python and CPLEX to solve a mixed integer linear programming (MILP) formulation. The objective is to help a telecom company decide the ...

Examining real-world challenges reveals that there are numerous approaches to guiding a problem toward a solution. Some methods may be intricate, while others could be straightforward. The ...

Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...