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» The Spatially-Dispersed Genetic Algorithm
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GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
16 years 19 hour 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
ICES
2003
Springer
151views Hardware» more  ICES 2003»
15 years 12 months ago
Using Genetic Programming and High Level Synthesis to Design Optimized Datapath
This paper presents a methodology to design optimized electronic systems from high abstraction level descriptions. The methodology uses Genetic Programming in addition to high-leve...
Sérgio G. Araújo, Antônio C. M...
195
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BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
15 years 6 months ago
A Markovian approach to the control of genetic regulatory networks
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while ...
Peter C. Y. Chen, Jeremy W. Chen
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 24 days ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
16 years 5 days ago
Isolating the benefits of respect
The three mechanisms of crossover are transmission, assortment, and respect. Of these three mechanisms, assortment (i.e. recombination) is traditionally viewed as the primary feat...
Stephen Chen, Gregory Pitt