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» Evolving programs with parameters and loops
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NFM
2011
242views Formal Methods» more  NFM 2011»
13 years 2 months ago
Model Checking Using SMT and Theory of Lists
A main idea underlying bounded model checking is to limit the length of the potential counter-examples, and then prove properties for the bounded version of the problem. In softwar...
Aleksandar Milicevic, Hillel Kugler
CEC
2007
IEEE
14 years 1 months ago
Self-adaptation of mutation distribution in evolutionary algorithms
— This paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpo...
Renato Tinós, Shengxiang Yang
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
ISCI
1998
193views more  ISCI 1998»
13 years 7 months ago
A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance
: This paper describes the successful parallel implementation of genetic programming on a network of processing nodes using the transputer architecture. With this approach, researc...
David Andre, John R. Koza
DDECS
2006
IEEE
140views Hardware» more  DDECS 2006»
13 years 11 months ago
A Core Generator for Multi-ALU Processors Utilized in Genetic Parallel Programming
Abstract-- Genetic Parallel Programming (GPP) evolves parallel programs for MIMD architectures with multiple arithmetic/logic processors (MAPs). This paper describes a tool intende...
Zbysek Gajda