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» Nature inspired genetic algorithms for hard packing problems
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GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
13 years 6 months ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
13 years 11 months ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
14 years 5 hour ago
Why evolution is not a good paradigm for program induction: a critique of genetic programming
We revisit the roots of Genetic Programming (i.e. Natural Evolution), and conclude that the mechanisms of the process of evolution (i.e. selection, inheritance and variation) are ...
John R. Woodward, Ruibin Bai
FINTAL
2006
13 years 9 months ago
MEDITE: A Unilingual Textual Aligner
This paper addresses a problem of natural language text alignment, from a humanities discipline called textual genetic criticism where different text versions must be compared. The...
Julien Bourdaillet, Jean-Gabriel Ganascia
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 6 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli