14774 search results - page 382 / 2955 » Computational complexity and evolutionary computation |
170
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
In an evolutionary algorithm, the population has a very important role as its size has direct implications regarding solution quality, speed, and reliability. Theoretical studies ...
169
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CEC
2010
IEEE
15 years 7 months ago
2010
IEEE
The field of evolutionary dynamic optimisation is concerned with the application of evolutionary algorithms to dynamic optimisation problems. In recent years, numerous new algorith...
183
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
170
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COR
2008
2008
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
15 years 6 months ago
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
168
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GECCO
2007
Springer
16 years 27 days ago
2007
Springer
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...