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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
Genetic algorithms are often applied to combinatorial optimization problems, the most popular one probably being the traveling salesperson problem. In contrast to permutations use...
143
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CEC
2008
IEEE
15 years 11 months ago
2008
IEEE
— This paper presents a genetic algorithm (GA) with a stress-based crossover (SX) operator to obtain a solution without checkerboard patterns for multi-constrained topology optim...
178
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CBMS
2007
IEEE
15 years 11 months ago
2007
IEEE
Microarray gene expression image analysis is a labor-intensive task and requires human intervention since microarray images are contaminated with noise and artifacts while spots a...
170
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MUE
2007
IEEE
15 years 11 months ago
2007
IEEE
Recently, there has been an increased interest in the query reformulation using relevance feedback with evolutionary techniques such as genetic algorithm for multimedia informatio...
148
Voted
AE
2007
Springer
15 years 10 months ago
2007
Springer
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...