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GECCO
2009
Springer
130views Optimization» more  GECCO 2009»
9 years 7 months ago
Neutrality and variability: two sides of evolvability in linear genetic programming
The notion of evolvability has been put forward to describe the“core mechanism”of natural and artificial evolution. Recently, studies have revealed the influence of the envi...
Ting Hu, Wolfgang Banzhaf
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
9 years 7 months ago
GP-rush: using genetic programming to evolve solvers for the rush hour puzzle
Ami Hauptman, Achiya Elyasaf, Moshe Sipper, Assaf ...
GECCO
2009
Springer
172views Optimization» more  GECCO 2009»
9 years 7 months ago
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows
The Vehicle Routing Problem can be seen as a fusion of two well known combinatorial problems, the Travelling Salesman Problem and Bin Packing Problem. It has several variants, the...
Abel Garcia-Najera, John A. Bullinaria
GECCO
2009
Springer
9 years 7 months ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones
GECCO
2009
Springer
9 years 7 months ago
A genetic programming approach to automated software repair
Stephanie Forrest, ThanhVu Nguyen, Westley Weimer,...
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
9 years 7 months ago
Evolutionary codings and operators for the terminal assignment problem
Given a collection of terminals, each with a demand, a collection of concentrators, each with a capacity, and costs of connecting the terminals to the concentrators, the terminal ...
Bryant A. Julstrom
GECCO
2009
Springer
139views Optimization» more  GECCO 2009»
9 years 7 months ago
Meta-heuristics for reconstructing cross cut shredded text documents
In this work, we present two new approaches based on variable neighborhood search (VNS) and ant colony optimization (ACO) for the reconstruction of cross cut shredded text documen...
Matthias Prandtstetter, Günther R. Raidl
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
9 years 7 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
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