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131
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 8 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...
147
Voted
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
15 years 8 months ago
Interactive evolutionary multi-objective optimization and decision-making using reference direction method
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
Kalyanmoy Deb, Abhishek Kumar
113
Voted
AICT
2006
IEEE
128views Communications» more  AICT 2006»
15 years 8 months ago
Development of SOA-Based Software Systems - an Evolutionary Programming Approach
A software application has strong relationships with the business processes it supports. In the analysis phase those parts of the processes in which the software system is applied...
Christian Emig, Jochen Weisser, Sebastian Abeck
109
Voted
ASPDAC
2004
ACM
118views Hardware» more  ASPDAC 2004»
15 years 8 months ago
Fast and efficient voltage scheduling by evolutionary slack distribution
- To minimize energy consumption by voltage scaling in design of heterogeneousreal-time embeddedsystems, it is necessary to perfom two distinct tasks: task scheduling (TS) and volt...
Bita Gorjiara, Pai H. Chou, Nader Bagherzadeh, Meh...
137
Voted
ISSTA
2004
ACM
15 years 8 months ago
Evolutionary testing of classes
Object oriented programming promotes reuse of classes in multiple contexts. Thus, a class is designed and implemented with several usage scenarios in mind, some of which possibly ...
Paolo Tonella