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» Optimizing for Reduced Code Space using Genetic Algorithms
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DCC
2005
IEEE
16 years 1 months ago
Efficient Alphabet Partitioning Algorithms for Low-Complexity Entropy Coding
We analyze the technique for reducing the complexity of entropy coding consisting in the a priori grouping of the source alphabet symbols, and in dividing the coding process in tw...
Amir Said
ISQED
2002
IEEE
111views Hardware» more  ISQED 2002»
15 years 6 months ago
Optimization of the Power/Ground Network Wire-Sizing and Spacing Based on Sequential Network Simplex Algorithm
This paper presents a fast algorithm to optimize both the widths and lengths of power/ground networks under reliability and power dip/ground bounce constraints. The spacesizing wh...
Ting-Yuan Wang, Charlie Chung-Ping Chen
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 7 months ago
MDGA: motif discovery using a genetic algorithm
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Dongsheng Che, Yinglei Song, Khaled Rasheed
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
15 years 7 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
ICGA
1993
140views Optimization» more  ICGA 1993»
15 years 3 months ago
Expected Allele Coverage and the Role of Mutation in Genetic Algorithms
It is part of the traditional lore of genetic algorithms that low mutation rates lead to efficient search of the solution space, while high mutation rates result in diffusion of s...
David M. Tate, Alice E. Smith