Friday 16th Dec 2011 – Dr David Cairns

Dr David Cairns & Mr Geoffrey Neumann – University of Stirling

Introducing Intervention Targeting into Estimation of Distribution Algorithms

Targetted EDA (TEDA) is a new hybrid Genetic Algorithm (GA) crossover
approach that combines a targeted intervention principle with Estimation
of Distribution Algorithms (EDA) to solve optimal control problems. In
problems such as our sample problem, scheduling chemotherapy treatment the
number of interventions used is an important part of solution fitness.
Fitness Directed Crossover (FDC) is a modified GA crossover method that
actively chooses the number of interventions to set in new solutions based
on the number in fit existing solutions. EDA are able to find fit
solutions by discovering patterns within a set of fit solutions. TEDA uses
FDC to select a suitable number of interventions to set while using an EDA
based approach to select which interventions to set. Results suggest that
by combining the two approaches, TEDA is able to outperform both EDA and
FDC on a sample optimal control problem.

School of Computing, Robert Gordon University, St Andrew Street, Aberdeen, Lecture Room C48, 14:15 – 15:15.

Advertisements

About Admin

School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, Scotland
This entry was posted in Research Seminar. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s