We present a new method that efficiently solves TO problems and provides a practical pathway to leverage quantum computing to exploit potential quantum advantages. This work targets on large-scale, ...

Abstract: This paper considers a dynamic spectrum allocation (DSA) for efficient distribution of the spectrum resource by allocating the spectrum to be responsive to demand variations. In this DSA ...

Integer programming and combinatorial optimization form the backbone of many decision-making and resource allocation problems across diverse fields, from logistics and telecommunications to finance ...

A major challenge in microarray classification is that the number of features is typically orders of magnitude larger than the number of examples. In this paper, we propose a novel feature filter ...

Abstract: This paper presents a new approach to the solution of resource or task allocation problems. A network flow optimization problem is posed that combines binary integer programming methods with ...

Integer programming is a crucial branch of mathematical optimisation that focuses on problems where some or all decision variables are constrained to be integers. This field underpins many practical ...

Interfaces, Vol. 42, No. 2, Analytics in Sports, Part I: General Sports Applications (March-April 2012), pp. 191-198 (8 pages) In this paper, we present a binary integer linear program for obtaining ...