By Topic

An age-controlled evolutionary algorithm for optimization problems in physical layout

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Huber, A. ; Inst. fur Technol. der Elektrotech. und Messtech., Karlsruhe Univ., Germany ; Mlynski, D.A.

We present the first evolutionary approach using an age-controlled population model for solving layout problems. In this approach the age is counted individually. Age-intrinsic information and possible conclusions are discussed elaborately. The age-intrinsic information is exploited to improve and accelerate the optimization. Selection and mutation benefit from this approach. Due to industrial needs the optimization characteristic is controlled by a single strategy variable σ. This strategy is best-suited to discrete and combinatorial optimization problems. It facilitates efficient controlling of genetic operators. The presented strategy has been implemented and successfully applied to the assignment problem on analog transistor arrays. This paper focuses on the general problem-independent aspects

Published in:

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on  (Volume:6 )

Date of Conference:

31 May-3 Jun 1998