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» Genetic Algorithms for Dynamic Test Data Generation
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SGAI
2007
Springer
14 years 1 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
DEXAW
2008
IEEE
119views Database» more  DEXAW 2008»
14 years 2 months ago
Evolutionary Approaches to Linear Ordering Problem
Linear Ordering Problem (LOP) is a well know optimization problem attractive for its complexity (it is a NPhard problem), rich collection of testing data and variety of real world...
Václav Snásel, Pavel Krömer, Ja...
ICNC
2009
Springer
14 years 2 months ago
An Improved Greedy Genetic Algorithm for Solving Travelling Salesman Problem
—Genetic algorithm (GA) is too dependent on the initial population and a lack of local search ability. In this paper, an improved greedy genetic algorithm (IGAA) is proposed to o...
Zhenchao Wang, Haibin Duan, Xiangyin Zhang
ICGA
1993
96views Optimization» more  ICGA 1993»
13 years 9 months ago
Dynamic Control of Genetic Algorithms in a Noisy Environment
In this paper, we present e cient algorithms for adjusting con guration parameters of genetic algorithms that operate in a noisy environment. Assuming that the population size is ...
Akiko N. Aizawa, Benjamin W. Wah
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
13 years 11 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule