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GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
14 years 2 months ago
Training Neural Networks with GA Hybrid Algorithms
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Enrique Alba, J. Francisco Chicano
IAT
2006
IEEE
14 years 2 months ago
An Intelligent Multi-hop Routing for Wireless Sensor Networks
With the advancement of micro-sensor and radio technology, wireless sensor networks are deployed in various applications. In a continuous monitoring application, sensors gather in...
Obidul Islam, Sajid Hussain
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 11 days ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
DAC
2006
ACM
14 years 9 months ago
An efficient and versatile scheduling algorithm based on SDC formulation
Scheduling plays a central role in the behavioral synthesis process, which automatically compiles high-level specifications into optimized hardware implementations. However, most ...
Jason Cong, Zhiru Zhang