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GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
13 years 12 months ago
Ensemble learning for free with evolutionary algorithms?
Christian Gagné, Michèle Sebag, Marc...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
13 years 12 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 12 months ago
Genetic optimization for yacht design
This paper introduces a procedure for using genetic multiobjective optimization in yacht design. The problem described consists on the optimization of a bulb shape to improve the ...
Paolo Geremia, Mauro Poian, Silvia Poles
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
13 years 12 months ago
Getting the most from search-based refactoring
Mark Kent O'Keeffe, Mel Ó Cinnéide
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
13 years 12 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
2007
Springer
558views Optimization» more  GECCO 2007»
13 years 12 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
13 years 12 months ago
A doubly distributed genetic algorithm for network coding
We present a genetic algorithm which is distributed in two novel ways: along genotype and temporal axes. Our algorithm first distributes, for every member of the population, a su...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 12 months ago
A genetic algorithm for privacy preserving combinatorial optimization
We propose a protocol for a local search and a genetic algorithm for the distributed traveling salesman problem (TSP). In the distributed TSP, information regarding the cost funct...
Jun Sakuma, Shigenobu Kobayashi
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
13 years 12 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
13 years 12 months ago
Robust multi-cellular developmental design
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...