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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
16 years 15 days ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
16 years 15 days ago
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Chien-Feng Huang, Luis Mateus Rocha
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 15 days ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
16 years 15 days ago
Evolving analog controllers for correcting thermoacoustic instability in real hardware
Previous research demonstrated that Evolvable Hardware (EH) techniques can be employed to suppress Thermoacoustic (TA) instability in a computer simulated combustion chamber. Thou...
Saranyan Vigraham, John C. Gallagher, Sanjay K. Bo...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
16 years 15 days ago
A genetic algorithm approach to the selection of near-optimal subsets from large sets
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
P. Whiting, P. W. Poon, J. N. Carter
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