CFP -- IDEAL 2007 Workshop on Evolutionary Algorithms for Industrial Design Optimisation.

Workshop on Evolutionary Algorithms for Industrial Design Optimisation.

In association with the 8th International Conference on Intelligent Data
Engineering and Automated Learning (IDEAL'07), 16-19 December 2007,
Birmingham, UK.

IDEAL'07 website: http://events.cs.bham.ac.uk/ideal07/

*** CALL FOR PAPERS ***

The efficient running of a large variety of business processes depends
on the optimal realisation of a core capability - design. To highlight a
few, it could be transportation scheduling for the optimal performance
of a complex supply chain, layout of a warehouse for the optimal use of
resources, aerodynamics of an aero-engine component to optimise its
efficiency, optimally modelling a physical process with unknown dynamics
from recorded data. So critical are these tasks that a large portion of
industrial research budget is spent on design optimisation. However, the
'hard' problems continue to pose huge challenges. Although the
application domains vary widely, the underlying characteristics of such
problems are fairly generic - a large number of design parameters, many
and often conflicting objectives, noisiness and uncertainty in data,
being some of the most important ones. The complex nature of the
objective function landscape of these problems limits the applicability
of traditional incremental search algorithms (e.g. hill climbing or
gradient based techniques).

Evolutionary Algorithms (EA) are nature-inspired population-based search
algorithms that have received significant attention since their
introduction in the 1970s. The most notable EAs developed initially such
as Genetic Algorithm (GA), Evolutionary Strategy (ES) and Evolutionary
Programming (EP) can be exploited in industrial design optimisation
problems. Genetic Programming (GP) is a relatively recent, and
potentially more powerful, technique to evolve novel, robust solutions
to hard optimisation problems mainly due to its capability to represent
solutions as computer programs. This workshop aims to close the loop
between the state-of-the-art EA research and the real-world challenges
faced by practitioners of design optimisation. The specific goals of
this meeting include, but are not limited to, the following:

* Present the latest applications of EA for industrial design
optimisation

* Present and discuss the major EA theoretical breakthroughs
with respect to the specific challenges of industrial design
optimisation.

* Identify problem categories which are more (or less) amenable
for an EA-based solution.

* Explore their unique advantages and disadvantages for such
problems.

* Understand if EA excite industrial design optimisation
experts. If not, why not and can anything be done about it? If so, where
and how its contributions can be extended?

*** Please email original articles (pdf) to BOTH organizing committee
members. Papers should not exceed 10 pages and should comply with IDEAL
2007 formatting guidelines, available at
http://events.cs.bham.ac.uk/ideal07/submission.php
<http://events.cs.bham.ac.uk/ideal07/submission.php> . All papers will
be peer-reviewed.

*** IMPORTANT DATES ***

Paper submission - 20 September, 2007.

Notification of acceptance or rejection - 20 October, 2007.

Submission of camera-ready paper - 31 October, 2007.

*** ORGANIZING COMMITTEE ***

Dr. Partha Dutta

Strategic Research Centre

Rolls-Royce plc.

PO Box 31

Derby DE24 3JS

United Kingdom.

Email: partha.dutta@rolls-royce.com

Dr. Aniko Ekart

Knowledge Engineering Research Group

Aston University

Aston Triangle

Birmingham B47ET.

United Kingdom

Email: ekarta@aston.ac.uk

 
Received on Tue Aug 7 07:47:12 2007