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GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
13 years 11 months ago
Solving real-valued optimisation problems using cartesian genetic programming
Classical Evolutionary Programming (CEP) and Fast Evolutionary Programming (FEP) have been applied to realvalued function optimisation. Both of these techniques directly evolve th...
James Alfred Walker, Julian Francis Miller
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 6 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli
CMMR
2003
Springer
121views Music» more  CMMR 2003»
13 years 10 months ago
Evolving Automatically High-Level Music Descriptors from Acoustic Signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the fi...
François Pachet, Aymeric Zils
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
13 years 12 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
13 years 9 months ago
A hybridized genetic parallel programming based logic circuit synthesizer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung