RGMO is a research group consisting of academic staffs in the Department of Mathematical Sciences who are actively involved in teaching, supervising and researching across a range of topics and areas in Optimization and Operational Research. RGMO addresses the development, analysis and implementation of algorithms for linear and nonlinear optimization problems. The group also has an impressive track-record in promoting and fostering the application of operational research as an interdisciplinary field through its contribution in strengthening the theoretical basis in model and methodology, as well as in the practical applications.  Much of the work done by the group focuses on how OR and Optimization methods can be used to improve real world problem situations.

RGMO concentrates on the mathematical aspect of the development and analysis of algorithms for optimization of continuous, discrete and stochastic systems. The outcome of the researches in this group would be efficient, faster, reliable and mathematically sound tools (algorithms) which can be used in the industries for the purpose of optimization. To date, the group has developed various algorithms for optimization of dynamical systems with a variety of constraints. There is also a strong interest in how OR and optimization can be performed more successfully in solving complex practical problems including facility location, facility layout design, scheduling, healthcare planning, vehicle routing, network routing, financial and allocation of scarce resources.