NICE Seminar 7

Surrogate Model-assisted Interactive Evolutionary Computations and Applications

 
When?
Thursday 17 November 2011, 15:30 to 16:30
Where?
39BB02
Open to:
Public, Staff, Students
Speaker:
Dr Xiaoyan Sun

Interactive evolutionary computation (IEC) is an approach to evolutionary computation (EC) in which user evaluation replaces the fitness function, developed to deal with optimization problems with qualitative indices.  User fatigue resulting from the user’s evaluations, however, restricts the applications of such kinds of algorithms in solving complicated practical problems.  This has recently motivated a lot of efforts to design friendly evaluation styles or build surrogates of the user’s evaluations to effectively alleviate user fatigue.  We have investigated several surrogate-assisted IECs associated with different evaluation modes, and successfully applied them to some practical fields.  In terms of distinct machine learning mechanisms, surrogate models constructed with supervised or semi-supervised learning for different evaluation modes will be focused here.  Some empirical results will be presented to demonstrate the strengths of surrogate-assisted IECs.

Date:
Thursday 17 November 2011
Time:

15:30 to 16:30


Where?
39BB02
Open to:
Public, Staff, Students
Speaker:
Dr Xiaoyan Sun

Page Owner: sl0022
Page Created: Friday 2 December 2011 13:42:14 by sl0022
Last Modified: Friday 2 December 2011 13:43:29 by sl0022
Expiry Date: Saturday 2 March 2013 13:39:19
Assembly date: Tue Mar 26 19:33:44 GMT 2013
Content ID: 69396
Revision: 2
Community: 1028