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GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
15 years 3 months ago
Unbiased tournament selection
Tournament selection is a popular form of selection which is commonly used with genetic algorithms, genetic programming and evolutionary programming. However, tournament selection...
Artem Sokolov, Darrell Whitley
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 3 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
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 2 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
EPS
1995
Springer
15 years 1 months ago
Evolving the Architecture of a Multi-part Program in Genetic Programming Using Architecture-Altering Operations
: This paper describes six new architecture-altering operations that provide a way to dynamically determine the architecture of a multipart program during a run of genetic programm...
John R. Koza