Sciweavers

GECCO
2009
Springer
139views Optimization» more  GECCO 2009»
13 years 9 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»
13 years 9 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...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
13 years 9 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
GECCO
2009
Springer
145views Optimization» more  GECCO 2009»
13 years 9 months ago
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences
Optimizing the hypervolume indicator within evolutionary multiobjective optimizers has become popular in the last years. Recently, the indicator has been generalized to the weight...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
GECCO
2009
Springer
13 years 9 months ago
Search based data sensitivity analysis applied to requirement engineering
Software engineering is plagued by problems associated with unreliable cost estimates. This paper introduces an approach to sensitivity analysis for requirements engineering. It u...
Mark Harman, Jens Krinke, Jian Ren, Shin Yoo
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
13 years 9 months ago
Variable size population for dynamic optimization with genetic programming
A new model of Genetic Programming with variable size population is presented in this paper and applied to the reconstruction of target functions in dynamic environments (i.e. pro...
Leonardo Vanneschi, Giuseppe Cuccu
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 9 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
GECCO
2009
Springer
116views Optimization» more  GECCO 2009»
13 years 9 months ago
Animated drawings rendered by genetic programming
Perry Barile, Victor Ciesielski, Marsha Berry, Kar...
GECCO
2009
Springer
13 years 9 months ago
Theoretical analysis of fitness-proportional selection: landscapes and efficiency
Frank Neumann, Pietro Simone Oliveto, Carsten Witt