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COR
2008
164views more  COR 2008»
13 years 8 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
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...
Enrique Alba, J. Francisco Chicano
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
14 years 1 months ago
Map-labelling with a multi-objective evolutionary algorithm
We present a multi-objective evolutionary algorithm approach to the map-labelling problem. Map-labelling involves placing labels for sites onto a map such that the result is easy ...
Lucas Bradstreet, Luigi Barone, R. Lyndon While
TEC
2002
88views more  TEC 2002»
13 years 7 months ago
Parallelism and evolutionary algorithms
Abstract--This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: first, the d...
Enrique Alba, Marco Tomassini
ICTAI
2009
IEEE
14 years 2 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
13 years 12 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...