Dynamic Optimisation in an Uncertain World: Challenges and State-of-the-Art
BTG Workshop 7; 24 February 2011, 9.00am - 4.30pm, Horton Grange, Conference Park, University of Birmingham
Optimisation is ubiquitous in the real world, from optimal design of electronic circuits to optimal design of aircraft wings, from optimal scheduling of trains to optimal routing of trucks in a network, from minimisation of inventory to maximisation of return from a financial portfolio. However, most of the textbook problems assume a static world where problems are unambiguously defined and fixed. In the real world, the objectives we are optimising may change with time. They may not be able to be measured accurately either. The decision variables may be corrupted by the noise. The implementation of decision variables may be corrupted by the noise too. All such factors in the real world call for more flexible and novel optimisation methods and algorithms that can deal with such complex situations. This one-day workshop provide a forum for discussing the challenges posed by such complex optimisation problems and the progresses made so far towards tackling them.
The workshop is free for anyone to attend and includes lunch and refreshments throughout the day. We would like to ask anyone who intends to attend to register by email with Laura Fenney (L.Fenney@cs.bham.ac.uk) by Monday 21st Feburary, 12 pm. If you have any queries other than registration, please email Dr Thorsten Schnier (T.Schnier@cs.bham.ac.uk).
|9.30- 9.40||Introduction to the Workshop||Xin Yao and Thorsten Schnier, Cercia, School of Computer Science, University of Birmingham|
|9.40-10.15||Multi-Population Methods with Clustering in Dynamic Environments (presentation)||Shengxiang Yang, Department of Information Systems and Computing, Brunel University|
|10.15-10.50||Solving continuous dynamic constrained optimisation problems (presentation)||Trung Thanh Nguyen, Cercia, School of Computer Science, University of Birmingham|
|11.20-11.55||Enhanced Hospital Resource Management using Anticipatory Policies in Online Dynamic Multi-objective Optimization (presentation)||Peter Bosman, Centrum Wiskunde & Informatica, Amsterdam|
|11.55-12.30||Dynamicalization - Manipulated Changes of Constraints for Efficient Optimization of Constrained Problems (presentation)||Yaochu Jin, Department of Computing, University of Surrey|
|13.30-14.05||Multiswarms and DOP: Simple Rules for Improving Performance (presentation)||David Pelta, Universidad de Granada|
|14.05-14.40||Optimisation and Landscape Analysis in Nanoscience (presentation)||Roy Johnston, School of Chemistry, University of Birmingham|
|15.10-15.45||Optimised Robotic Action in Uncertain Worlds (abstract)||Richard Dearden, School of Computer Science, University of Birmingham|
|15.45-16.20||Problems and Challenges in Evolutionary Dynamic Optimisation (presentation) (abstract)||Philipp Rohlfshagen, University of Essex|