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MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 5 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 2 months ago
Multiple sequence alignment using a GLOCSA guided genetic algorithm
This paper introduces GLOCSA as a new scoring function to rate multiple sequence alignments. It is intended to be simple, considering the whole alignment at once and reflecting t...
Edgar David Arenas-Díaz, Helga Ochoterena-B...
RECOMB
2005
Springer
16 years 1 months ago
Efficient Algorithms for Detecting Signaling Pathways in Protein Interaction Networks
Abstract. The interpretation of large-scale protein network data depends on our ability to identify significant sub-structures in the data, a computationally intensive task. Here w...
Jacob Scott, Trey Ideker, Richard M. Karp, Roded S...
ACL
2006
15 years 2 months ago
A Discriminative Global Training Algorithm for Statistical MT
This paper presents a novel training algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the global scoring...
Christoph Tillmann, Tong Zhang
GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
15 years 2 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis