Miguel Anjos Mathematics - Optimization
Professor Anjos works within the Optimization and Operational Research Group. The main focus of the group is on mathematical and computing aspects of optimization. It has world-leading expertise in the solution of large sparse linear and quadratic problems by two of the core technologies in optimization - the simplex method and interior point methods. The group also has interests in nonlinear and global optimization, discrete optimization, decomposition methods, parallel computing, industrial applications of optimization, and stochastic optimization. There is additional expertise in simulation and stochastic areas of operational research, and in the mathematics of energy systems.
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FLPLIB - Library of Facility Layout InstancesFacility Layout Problems
Collections in this community
Instances for "Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models" Parameter values and error terms for all twenty instances in each of the five datasets discussed in "Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models". Instances are designed to ...
QAPLIB - A Quadratic Assignment Problem Library - Problem instances and solutions The Quadratic Assignment Problem (QAP) has remained one of the great challenges in combinatorial optimization. It is still considered a computationally nontrivial task to solve modest size problems, say of size n=25. The ...
Instances for "Increasing electric vehicle adoption through the optimal deployment of fast-charging stations for local and long-distance travel" Two networks representing possible locations for electric vehicle charging stations in the province of Quebec in Canada, and in the state of California in the U.S.A. This data was created by the authors of the paper ...