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ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
14 years 1 months ago
Multi-objective design strategy for high-level low power design of DSP systems
High-level power design presents a complex, multiobjective problem that involves the simultaneous optimisation of competing criteria such as speed, area and power. It is difficult...
Mark S. Bright, Tughrul Arslan
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
14 years 12 days ago
Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it represents the solution to all instances of a problem (instead of just the...
John R. Koza, Martin A. Keane, Jessen Yu, William ...
FGCS
2006
82views more  FGCS 2006»
13 years 8 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 3 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
14 years 14 days ago
Characterizing large text corpora using a maximum variation sampling genetic algorithm
An enormous amount of information available via the Internet exists. Much of this data is in the form of text-based documents. These documents cover a variety of topics that are v...
Robert M. Patton, Thomas E. Potok