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» Design Issues in a Multiobjective Cellular Genetic Algorithm
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SIES
2007
IEEE
15 years 3 months ago
Design Space Exploration with Evolutionary Multi-Objective Optimisation
— High level synthesis is one of the next major steps to improve the hw/sw co-design process. The advantages of high nthesis are two-fold. At first the level of abstraction is r...
Martin Holzer 0002, Bastian Knerr, Markus Rupp
INTEGRATION
2010
172views more  INTEGRATION 2010»
14 years 8 months ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
ENGL
2006
170views more  ENGL 2006»
14 years 9 months ago
Hybrid Genetic Algorithms: A Review
Hybrid genetic algorithms have received significant interest in recent years and are being increasingly used to solve real-world problems. A genetic algorithm is able to incorporat...
Tarek A. El-Mihoub, Adrian A. Hopgood, Lars Nolle,...
ISVLSI
2007
IEEE
151views VLSI» more  ISVLSI 2007»
15 years 3 months ago
Design of a MCML Gate Library Applying Multiobjective Optimization
In this paper, the problem of sizing MOS Current Mode Logic (MCML) circuits is addressed. The Pareto front is introduced as a useful analysis tool to explore the design space of e...
Roberto Pereira-Arroyo, Pablo Alvarado-Moya, Wolfg...
CEC
2008
IEEE
15 years 4 months ago
A self-adaptive cellular memetic algorithm for the DNA fragment assembly problem
Abstract— The DNA fragment assembly problem is to reconstruct a DNA chain from multiple fragments that have previously been sequenced in a laboratory. This is a critical step in ...
Bernabé Dorronsoro, Enrique Alba, Gabriel L...