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142
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GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 8 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
124
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GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
101
Voted
ICCAD
2006
IEEE
124views Hardware» more  ICCAD 2006»
15 years 11 months ago
Robust system level design with analog platforms
An approach to robust system level mixed signal design is presented based on analog platforms. The bottom-up characterization phase of platform components provides accurate perfor...
Fernando De Bernardinis, Pierluigi Nuzzo, Alberto ...
114
Voted
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 8 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
130
Voted
TIP
1998
129views more  TIP 1998»
15 years 2 months ago
Minimax partial distortion competitive learning for optimal codebook design
— The design of the optimal codebook for a given codebook size and input source is a challenging puzzle that remains to be solved. The key problem in optimal codebook design is h...
Ce Zhu, Lai-Man Po