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DT
2000
101views more  DT 2000»
13 years 8 months ago
Conflicting Criteria in Embedded System Design
The design of complex embedded systems involves the simultaneous optimization of several often competing objectives. Instead of a single optimal design, there is rather a set of a...
Michael Eisenring, Lothar Thiele, Eckart Zitzler
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 1 months ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
KES
2006
Springer
13 years 8 months ago
Fuzzy-Evolutionary Synergism in an Intelligent Medical Diagnosis System
In this paper, we present the design, implementation and evaluation of HIGAS, a hybrid intelligent system that deals with diagnosis and treatment consultation of acid-base disturba...
Constantinos Koutsojannis, Ioannis Hatzilygeroudis
AAAI
2000
13 years 10 months ago
Applying Learnable Evolution Model to Heat Exchanger Design
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
Kenneth A. Kaufman, Ryszard S. Michalski
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 6 days ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa