3165 search results - page 274 / 633 » Introduction to genetic algorithms |
144
click to vote
GECCO
2009
Springer
16 years 14 days 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...
163
click to vote
CEC
2008
IEEE
16 years 12 days 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...
200
click to vote
CBMS
2007
IEEE
16 years 8 days 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...
193
click to vote
MUE
2007
IEEE
16 years 6 days 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...
170
click to vote
AE
2007
Springer
16 years 3 days 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...