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» Unsupervised Problem Decomposition Using Genetic Programming
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COR
2008
164views more  COR 2008»
13 years 11 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
RISE
2005
Springer
14 years 4 months ago
Software Testing with Evolutionary Strategies
Abstract. This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of inp...
Enrique Alba, J. Francisco Chicano
GECCO
2007
Springer
141views Optimization» more  GECCO 2007»
14 years 5 months ago
Evolving robust GP solutions for hedge fund stock selection in emerging markets
Abstract Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive)...
Wei Yan, Christopher D. Clack
FOCS
2002
IEEE
14 years 3 months ago
Low-Dimensional Linear Programming with Violations
Two decades ago, Megiddo and Dyer showed that linear programming in two and three dimensions (and subsequently any constant number of dimensions) can be solved in linear time. In ...
Timothy M. Chan
IOR
2006
177views more  IOR 2006»
13 years 11 months ago
Combinatorial Benders' Cuts for Mixed-Integer Linear Programming
Mixed-Integer Programs (MIP's) involving logical implications modelled through big-M coefficients, are notoriously among the hardest to solve. In this paper we propose and an...
Gianni Codato, Matteo Fischetti