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» Techniques for Optimization of Net Algorithms
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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 10 months ago
Innovization: innovating design principles through optimization
This paper introduces a new design methodology (we call it "innovization") in the context of finding new and innovative design principles by means of optimization techni...
Kalyanmoy Deb, Aravind Srinivasan
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 11 days ago
On the runtime analysis of the 1-ANT ACO algorithm
The runtime analysis of randomized search heuristics is a growing field where, in the last two decades, many rigorous results have been obtained. These results, however, apply pa...
Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carst...
LCPC
2004
Springer
15 years 11 months ago
HiLO: High Level Optimization of FFTs
As computing platforms become more and more complex, the task of optimizing performance critical codes becomes more challenging. Recently, more attention has been focused on automa...
Nick Rizzolo, David A. Padua
HIS
2001
15 years 7 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
GECCO
2010
Springer
207views Optimization» more  GECCO 2010»
15 years 11 months ago
Generalized crowding for genetic algorithms
Crowding is a technique used in genetic algorithms to preserve diversity in the population and to prevent premature convergence to local optima. It consists of pairing each offsp...
Severino F. Galán, Ole J. Mengshoel