topleft
topright
Enter the Member Network Zone View the Top 10 Points Leaderboard View Members Who Are Currently Online View Latest Member Activity

Featured Blogger

Who Can I Blame?
Ty Kiisel

Featured Members


Member Network Zone

Expert Blog Comments

Keeping the Wheels Turning
In the end it all boils down to communication. If the Project manager communicates properly with the...
Top 5 Tech Trends to Watch for In 2012
It's true - no one is really surprised that cloud computing is on the list! Enjoyed reading about th...
Is Your CIO an Insomniac?
cross-posted comment to this article by Tony Campbell - I think that a CIO that doesn't plan for go...
Is Your CIO an Insomniac?
I sleep well at night. Jokes apart, a well balanced and empowered team (in-house or outsourced) redu...
Federal CIO Quits Post, Stalls Cloud Initiaves
Wow, I take this as a solid "No Vote" on the Cloud from the government! As much as they may look fo...
Future Enterprise- Evolutionary Design
Written by David Hunter Tow
Harnessing the evolutionary biological process via software simulation, offers a rapid computational process that can learn and become expert in almost any knowledge domain. This provides a powerful means of solving complex engineering and design problems, often involving non-linear and chaotic processes,that traditional mathematical algorithms or numerical techniques have been unable to effectively solve. Within an evolutionary algorithm the population of system variables acts as a reservoir of stored knowledge that can be applied on the fly within a dynamic environment. The method involves a two step iterative process. First, selection of an initial set of solutions or parameters for a particular problem and then the application of an operator to vary the mix of solution parameter options. The parent solutions then generate offspring. The resultant solutions are then evaluated for effectiveness or fitness and the best selected. The process is then repeated until the fitness or cost function or in engineering terms- the performance index, has been met to the required standard of optimisation. This two step process can generate innovative and 'best fit' solutions within tight time constraints. Areas in which this branch of AI is now being applied include- Creation of new hardware and electronic circuit designs. This application could play a pivotal role in designing future intelligent machines and processes- for example engineering robotic and maintenance algorithms that can predict, learn and implement solutions autonomously. Also discovery and design of new drugs with customised conformations and topologies; optimisation of neural network structures for more effective pattern discrimination, learning and feedback; more acurate medical diagnosis; optimisation of internet and power grid topologies; streamlining supply chain management systems and workflows. Future Trends The enterprise of the future will utilise Evolutionary Design techniques in almost every aspect of its planning and operational processes, providing seamless support to strategists, designers, engineers and marketers.


Comment on this article
RSS comments

Only registered users can write comments.
Please login or register.

[ Back ]




News & Noteworthy Archive

Past News Items From Reuters

White Paper Library

Copyright © 2007-2012 CIOZones. All Rights Reserved. CIOZone is a property of PSN, Inc.