SFU Operations Research Seminar


 

 

Welcome to the Web pages of the SFU Operations Research Seminar Series.

We are associated with:

 

Our aim is to meet and discuss Operations Research topics.

 

Regular Meeting time:          Thursdays, 3:30pm to 4:30pm

Meeting place:                      Room 14-400, SFU Surrey, 14th floor of the Tower.

 

If you are interested in giving a talk, please contact Tamon Stephen, tamon at sfu ca

 

Spring 2010
 

January 8

**Friday, 12:30**

The Bottleneck Traveling Salesman Problem and Some Variations

John LaRusic, Simon Fraser University

M.Sc. Thesis defense (senior supervisor: Abraham Punnen)

 

 

Fall 2009
 

December 3

**Thursday, 11:30**

First-Order Methods for Nuclear Norm Minimization and its Applications

Hua Zheng, Simon Fraser University

M.Sc. Thesis defense (senior supervisor: Zhaosong Lu)

November 16

 

SUR 14-400

and

IRMACS 10901

Gene trees and species trees: parsimony problems

Cedric Chauve, Simon Fraser University

Abstract:
A gene family is a set of genes, present in the genomes of several genomes,
possibly in multiple occurrences in some genomes, that all originates from a
single ancestral gene. A gene tree is a binary tree that describes evolutionary 
relationships between the genes of a same family, in terms of three kinds of 
events: speciations, duplications and losses.  Phylogenomics aims at inferring, 
from a set of gene trees, a species tree.  Here we consider the following 
NP-complete optimization problem: infer the species tree that minimizes the 
number of gene duplications. I will present two results:
- a description of tractable sets of gene trees (work with J.-P. Doyon and
  N. El-Mabrouk, Universite de Montreal)
- approximation algorithms for computing a parsimonious first speciation,
  based on edge-cut problems in graphs and hypergraphs (work with
  A. Ouangraoua and K. Swenson, Universite du Quebec a Montreal)

November 2

 

SUR 14-400

and

IRMACS 10901

Introduction to multiple objective programming and simplex method for solving bi-objective programming

Sara Taghipour, Simon Fraser University

Abstract:
In this seminar, main definitions and theorems of multiple objective programming 
(a linear programming consisting of several objective functions) will be 
mentioned. Also, solving bi-objective programming will be discussed by 
extending simplex method for solving these problems.
(We assume familiarity with simplex method.)

October 26

 

SUR 14-400

and

IRMACS 10900

Recent progress in the application of semidefinite programming to discrete optimization

Miguel Anjos, University of Waterloo

Abstract:
The max-cut algorithm of Goemans and Williamson is 15 years old in 2009, and 
its impact in the area of semidefinite programming has been remarkable. In this 
talk, I will survey some of the main modelling and algorithmic developments 
since 1994 in the application of semidefinite programming to discrete 
optimization problems. I will also highlight promising directions for research in 
this area.  

October 5

Design in Inverse Problems

Eldad Haber, University of British Columbia

Abstract:
While there was much attention given to solving inverse problems there is a gap
in the question of design, that is, the design of experiments for ill-posed 
problems and the design of regularization functionals.
 
In this talk we will present a framework to attack this problem. We show that it 
leads to a stochastic bilevel optimization problem and suggest algorithms for its 
solution.  

September 16

*Wednesday*

**3:30**

Necessary optimality conditions for bilevel programming problems

Jane Ye, University of Victoria

Abstract:
A bilevel programming problem is a sequence of two optimization problems
where the constraint region of the upper level problem is determined implicitly by 
the solution set to the lower level problem. Bilevel programming problems can be 
used to model many problems in operations research and are also known as the 
Stackelberg games in economics. In this talk we discuss difficulties of deriving 
necessary optimality conditions for bilevel programming problems, in particular 
when the lower level problem is nonconvex. We provide a new necessary 
optimality condition which is valid under very weak constraint qualifications.  

 


 

 Archives of 2005-6, 2006-7, 2007-8 and 2008-9 Seminars.

  


Organizer: Tamon Stephen, e-mail: tamon at sfu ca.

Modified:  January 6th, 2010.