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» Evolving Crossover Operators for Function Optimization
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GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 11 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 ...
ANNS
2010
13 years 2 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 25 days ago
A Study of the Role of Single Node Mutation in Genetic Programming
In this paper we examine the effects of single node mutations on trees evolved via genetic programming. The results show that neutral mutations are less likely for nodes nearer th...
Wei Quan, Terence Soule
ICTAI
2009
IEEE
13 years 5 months ago
Constraint-Based Evolutionary QoS Adaptation for Power Utility Communication Networks
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...
Paskorn Champrasert, Junichi Suzuki, Tetsuo Otani