DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...

Motivation for Research: Large combinatorial optimization problems involve an exponentially growing decision space, where finding a good solution often becomes extremely difficult using traditional ...

... mentions of OR in the popular press are few and far between. Worse yet, popular media articles covering OR manage to avoid mentioning OR entirely! Lohr argues ...

Explore how data, resilience, and AI are redefining the future of global manufacturing in response to modern challenges.

A robust approach to solving linear optimization problems with uncertain data was proposed in the early 1970s and has recently been extensively studied and extended. Under this approach, we are ...

Facility location and optimization problems have long been a central focus in operations research and applied mathematics, addressing the challenge of strategically placing facilities to serve a ...

In this paper, we introduce an approach for constructing uncertainty sets for robust optimization using new deviation measures for random variables termed the forward and backward deviations. These ...

As the world continues to gather mountains of data, we need math-minded people to help us make sense of it all. Therefore, it's no surprise that demand for mathematics professionals is on the rise — ...

In his article, "Leveraging Information for a Competitive Advantage," in the May-June 2014 issue of "Army Sustainment," Col. Jeffery C. Powell argued that "the Army must hire, train, and organize a ...