Upcoming Seminars
(page last updated on Tuesday 6 December 2016)
Tuesday 6 December 2016
On Bit Representations of MixedInteger Quadratic Programs 
Abstract.
A standard trick in integer programming is to replace each bounded generalinteger
variable with a small number of binary variables, using the bit representation of the given variable.
(See, e.g., Owen & Mehrotra, 2002; Coppersmith & Lee, 2005; Muldoon et al., 2013; Bonami
& Margot, 2015). Recently, bit representation was found to be useful for convexifying quadratic
problems (Billionnet et al., 2012) and for linearising bilinear problems (Gupte et al., 2013).
We show that,in the case of mixedinteger quadratic programs, bit representation has an
additional benefit: it can enable one to obtain stronger linear programming relaxations.

Speaker: Prof. Adam Letchford [Bio sketch] 
Bio Sketch. Adam N. Letchford is known internationally for his research on exact solution methods for NPhard optimisation problems. He has been the recipient of an IBM Faculty Award and an EPSRC Advanced Research Fellowship, and is a Fellow of the Operational Research Society. He has been on the editorial boards of six journals, including Mathematical Programming and Operations Research. From 20082014, he was the coordinator of the optimisation cluster of the LANCS Initiative. Since 2012, he has been the director of NATCOR, the UK National Taught Course Centre in Operational Research. 
Affilation: Management School  Lancaster University 
Location: Huxley Building 
Time: 3:00pm (duration: 1 hour) 
Tuesday 13 December 2016
Smart Grids and Optimization: A Winning Combination 
Abstract.
A smart grid is the combination of a traditional electrical power system with information and energy both flowing back and forth between suppliers and consumers. This new paradigm introduces major challenges such as the integration of intermittent generation and storage, and the need for electricity consumers to play an active role in the operations of the system. We will summarize the opportunities provided by smart grid to the optimization community, and illustrate one such opportunity through some recent research on optimal aggregation of energy resources (joint work with F. Gilbert, P. Marcotte, and G. Savard).

Speaker: Prof. Miguel Anjos [Bio sketch] 
Bio Sketch. Miguel Anjos is a Professor at Polytechnique Montreal. He holds a Canada Research Chair and an Inria International Chair. He is also a licensed professional engineer in Ontario, Canada. His research is concerned with using mathematical optimization to provide guaranteed optimal or nearoptimal solutions for important classes of largescale discrete nonlinear optimization problems arising in engineering applications. 
Affilation: Polytechnique Montreal 
Location: 217 Huxley Building 
Time: 1:30pm (duration: 1 hour) 