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GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 4 months ago
Unwitting distributed genetic programming via asynchronous JavaScript and XML
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
Jon Klein, Lee Spector
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
14 years 4 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
ICSE
2003
IEEE-ACM
14 years 3 months ago
A Tutorial on Feature Oriented Programming and Product-Lines
ct Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. The goal is to specify a target program in terms of the features that it offers, and ...
Don S. Batory
ISCA
1999
IEEE
105views Hardware» more  ISCA 1999»
14 years 2 months ago
The Program Decision Logic Approach to Predicated Execution
Modern compilers must expose sufficient amounts of Instruction-Level Parallelism (ILP) to achieve the promised performance increases of superscalar and VLIW processors. One of the...
David I. August, John W. Sias, Jean-Michel Puiatti...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
14 years 1 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste