By Topic

Multi-objective Reversible Logic Gate-level Evolutionary Synthesis Using Multi-objective Adaptive Discrete Differential Evolution

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

3 Author(s)
Mingming Zhang ; Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China ; Shuguang Zhao ; Xu Wang

The reversible logic synthesis is a multi-objective optimization problem with rigorous constraints such as prohibiting the feedback and fan-out, and the same number of inputs and outputs, so it is difficult to be solved by general synthesis methods. Moreover, the synthesis methods of reversible logic circuits are very different from that of existing irreversible logic circuits. To make improvements in the capability and effectiveness of reversible logic synthesis, this paper proposes an algorithm of reversible logic gate-level evolutionary synthesis using multi-objective adaptive discrete differential evolution based on Pareto optimal. The synthesis experiments are conducted for a set of benchmark reversible logic circuits which are widely used in the reversible logic synthesis tests. The experiment results show that the proposed synthesis algorithm can give attention to multiple synthesis objectives at the same time, and has the capability to automatically synthesize the better reversible logic circuits, which verifies the feasibility and effectiveness of the proposed synthesis algorithm.

Published in:

Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on  (Volume:2 )

Date of Conference:

21-22 Nov. 2009