Sciweavers

796 search results - page 73 / 160
» A multi-objective genetic algorithm for robust design optimi...
Sort
View
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
14 years 2 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, ...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
14 years 2 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
ICCAD
2006
IEEE
124views Hardware» more  ICCAD 2006»
14 years 6 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 ...
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 2 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
TIP
1998
129views more  TIP 1998»
13 years 8 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