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» Evolving Quantum Circuits Using Genetic Algorithm
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ASPDAC
2006
ACM
129views Hardware» more  ASPDAC 2006»
14 years 2 months ago
Yield-area optimizations of digital circuits using non-dominated sorting genetic algorithm (YOGA)
With shrinking technology, the timing variation of a digital circuit is becoming the most important factor while designing a functionally reliable circuit. Gate sizing has emerged...
Vineet Agarwal, Janet Meiling Wang
COCO
2008
Springer
118views Algorithms» more  COCO 2008»
13 years 10 months ago
Quantum Expanders: Motivation and Constructions
: We define quantum expanders in a natural way. We give two constructions of quantum expanders, both based on classical expander constructions. The first construction is algebraic,...
Avraham Ben-Aroya, Oded Schwartz, Amnon Ta-Shma
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
14 years 1 months ago
Circuit Bipartitioning Using Genetic Algorithm
Abstract. In this paper, we propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local op...
Jong-Pil Kim, Byung Ro Moon
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 1 months ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster