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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 10 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
2008
Springer
118views Optimization» more  GECCO 2008»
13 years 10 months ago
An analysis of multi-sampled issue and no-replacement tournament selection
Standard tournament selection samples individuals with replacement. The sampling-with-replacement strategy has its advantages but also has issues. One of the commonly recognised i...
Huayang Xie, Mengjie Zhang, Peter Andreae, Mark Jo...
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 10 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
AMC
2007
129views more  AMC 2007»
13 years 10 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 9 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya