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CEC
2007
IEEE
15 years 3 months ago
A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation
— Computational complexity is a major challenge in evolutionary algorithms due to their need for repeated fitness function evaluations. Here, we aim to reduce number of fitness f...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
CEC
2003
IEEE
15 years 7 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
AHS
2006
IEEE
95views Hardware» more  AHS 2006»
15 years 5 months ago
A Modular Framework for the Evolution of Circuits on Configurable Transistor Array Architectures
This paper gives an overview over the progress that has been made by the Heidelberg FPTA group within the field of analog evolvable hardware. Achievements are the design of a CMOS...
Martin Trefzer, Jörg Langeheine, Karlheinz Me...
PPAM
2007
Springer
15 years 8 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
94
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IIS
2004
15 years 3 months ago
Application of evolutionary computing to conformational analysis
In this paper we report new results concerning use of genetic algorithms in conformational analysis, field of pharmacy related to discovery and design of new drugs. The goal is to ...
Aleksander Wawer, Franciszek Seredynski, Pascal Bo...