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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
16 years 8 days ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
16 years 8 days ago
The application of antigenic search techniques to time series forecasting
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
Ian Nunn, Tony White
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
16 years 8 days ago
Population-based incremental learning with memory scheme for changing environments
In recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications. Several a...
Shengxiang Yang
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
16 years 8 days ago
Memory-based immigrants for genetic algorithms in dynamic environments
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...
Shengxiang Yang
GPCE
2005
Springer
16 years 8 days ago
Language Requirements for Large-Scale Generic Libraries
Abstract. The past decade of experience has demonstrated that the generic programming methodology is highly effective for the design, implementation, and use of large-scale softwar...
Jeremy G. Siek, Andrew Lumsdaine