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TEC
2002
119views more  TEC 2002»
13 years 7 months ago
Graph-based evolutionary design of arithmetic circuits
Abstract--In this paper, we present an efficient graph-based evolutionary optimization technique called evolutionary graph generation (EGG) and the proposed approach is applied to ...
Dingjun Chen, Takafumi Aoki, Naofumi Homma, Toshik...
TFS
2008
157views more  TFS 2008»
13 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 2 months ago
Reducing the number of transistors in digital circuits using gate-level evolutionary design
This paper shows that the evolutionary design of digital circuits which is conducted at the gate level is able to produce human-competitive circuits at the transistor level. In ad...
Zbysek Gajda, Lukás Sekanina
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 1 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
GECCO
2003
Springer
108views Optimization» more  GECCO 2003»
14 years 1 months ago
Evolutionary Testing of Flag Conditions
Evolutionary Testing (ET) has been shown to be very successful in testing real world applications [16]. However, it has been pointed out [11], that further research is necessary if...
André Baresel, Harmen Sthamer