Sciweavers

2407 search results - page 394 / 482
» The evolutionary forest algorithm
Sort
View
90
Voted
EMO
2006
Springer
107views Optimization» more  EMO 2006»
15 years 4 months ago
Designing Multi-objective Variation Operators Using a Predator-Prey Approach
In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. ...
Christian Grimme, Joachim Lepping
89
Voted
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 4 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
106
Voted
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
15 years 4 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 4 months ago
The effects of interaction frequency on the optimization performance of cooperative coevolution
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...
Elena Popovici, Kenneth A. De Jong
95
Voted
CEC
2005
IEEE
15 years 2 months ago
Evolving autonomous agent control in the Xpilot environment
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
Gary B. Parker, Matt Parker, Steven D. Johnson