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» Primer design using genetic algorithm
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ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 1 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 11 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
ENGL
2006
170views more  ENGL 2006»
13 years 7 months ago
Hybrid Genetic Algorithms: A Review
Hybrid genetic algorithms have received significant interest in recent years and are being increasingly used to solve real-world problems. A genetic algorithm is able to incorporat...
Tarek A. El-Mihoub, Adrian A. Hopgood, Lars Nolle,...
BMCBI
2006
127views more  BMCBI 2006»
13 years 7 months ago
PathogenMIPer: a tool for the design of molecular inversion probes to detect multiple pathogens
Background: Here we describe PathogenMIPer, a software program for designing molecular inversion probe (MIP) oligonucleotides for use in pathogen identification and detection. The...
Sreedevi Thiyagarajan, Miloslav Karhanek, Michael ...
GECCO
2003
Springer
122views Optimization» more  GECCO 2003»
14 years 19 days ago
Designing A Hybrid Genetic Algorithm for the Linear Ordering Problem
The Linear Ordering Problem(LOP), which is a well-known NP-hard problem, has numerous applications in various fields. Using this problem as an example, we illustrate a general pro...
Gaofeng Huang, Andrew Lim