Combinatorial optimization problems are frequently encountered in a variety of applications including telecommunications, computer networks, transportation, supply chain and logistics. They are often hard to solve due to the presence of integer variables. Commercial software like CPLEX cannot solve these problems for realistic and large instances unless problem-specific algorithms are developed and integrated to their default functions.
I consider the design of a content delivery network (CDN) that maintains multiple data hubs for efficient service and reduced delivery cost. Many decision problems (for example, location of hubs, allocation of data to these hubs, user assignment, query routing and network design) appear in this framework and they are inter-dependant. The model and formulation to find the solutions to each of these problems in an integrated manner is a computationally challenging task. Therefore, the focus is on algorithm development for this kind of large scale optimization problem.
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Mathematical models and empirical analysis of a simulated annealing approach for two variants of the static data segment allocation problem Sen G., Krishnammoorthy M. , Narayanan V. , Rangaraj N. By Networks 68 4-22 (2016)
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Exact approaches for static data segment allocation problem in an information network G Sen, M Krishnamoorthy, N Rangaraj, V Narayanan By Computers & Operations Research 62 282-295 (2015)
Principal Investigator
- Development of SDSS Tools for Addressing Emergency/Disaster Management
Ph. D. Students
Ayush Sharma
Area of Research: Decision Technologies
Deepak Kumar Kushwaha
Area of Research: Operations Research
Imran Haider
Area of Research: Applied combinatorial optimization
MS Students
Santanu Banerjee
Area of Research: Operations Research
Siddhartha Mukhopadhyay
Area of Research: Decision Support Systems
