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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 6 months ago
Multiobjective robustness for portfolio optimization in volatile environments
Multiobjective methods are ideal for evolving a set of portfolio optimisation solutions that span a range from highreturn/high-risk to low-return/low-risk, and an investor can cho...
Ghada Hassan, Christopher D. Clack
GECCO
2007
Springer
141views Optimization» more  GECCO 2007»
13 years 11 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
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
13 years 8 months ago
Diverse committees vote for dependable profits
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) are dyn...
Wei Yan, Christopher D. Clack
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
13 years 10 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
ICDE
2008
IEEE
118views Database» more  ICDE 2008»
14 years 6 months ago
Robust Runtime Optimization of Data Transfer in Queries over Web Services
Self-managing solutions have recently attracted a lot of interest from the database community. The need for self-* properties is more evident in distributed applications comprising...
Anastasios Gounaris, Christos Yfoulis, Rizos Sakel...