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» Efficiently evolving programs through the search for novelty
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SAC
2008
ACM
13 years 7 months ago
Optimizing code through iterative specialization
Code specialization is a way to obtain significant improvement in the performance of an application. It works by exposing values of different parameters in source code. The availa...
Minhaj Ahmad Khan, Henri-Pierre Charles, Denis Bar...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
13 years 11 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
ICSE
2003
IEEE-ACM
14 years 7 months ago
Component Rank: Relative Significance Rank for Software Component Search
Collections of already developed programs are important resources for efficient development of reliable software systems. In this paper, we propose a novel method of ranking softw...
Katsuro Inoue, Reishi Yokomori, Hikaru Fujiwara, T...
CPAIOR
2004
Springer
13 years 11 months ago
Building Models through Formal Specification
Abstract. Over the past years, a number of increasingly expressive languages for modelling constraint and optimisation problems have evolved. In developing a strategy to ease the c...
Gerrit Renker, Hatem Ahriz