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ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization
In this paper we propose a genetic and greedy algorithm combination for the optimization of the Topological Active Nets (TAN) model. This is a deformable model used for image segme...
José Santos, Óscar Ibáñ...
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 10 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
145
Voted
ICES
2003
Springer
151views Hardware» more  ICES 2003»
15 years 9 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...
BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
15 years 4 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
127
Voted
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
15 years 10 months 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