[Computational-biology] CFP: IDEAL'07 workshop

A EKART via comp-bio%40net.bio.net (by ekarta from aston.ac.uk)
Mon Aug 20 06:18:45 EST 2007

*** Apologies for cross-posting ***


Workshop on Evolutionary Algorithms for Industrial Design Optimisation


In association with
the 8th International Conference on Intelligent Data Engineering and 
Automated Learning
16-19 December 2007, 
Birmingham, UK

******************** 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 

* 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 in pdf format to BOTH organizing 
committee members (details below).

Papers should not exceed 10 pages and should comply with IDEAL 
2007 formatting guidelines, available at 

All papers will be peer-reviewed.


Paper submission:  	          20 September 2007
Notification of acceptance:       20 October 2007
Submission of camera-ready paper: 31 October 2007


Dr. Partha Dutta
Strategic Research Centre
Rolls-Royce plc.
PO Box 31
Derby DE24 3JS
United Kingdom.
Email: partha.dutta from rolls-royce.com

Dr. Aniko Ekart
Knowledge Engineering Research Group
Aston University
Aston Triangle
Birmingham B47ET.
United Kingdom
Email: ekarta from aston.ac.uk

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