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GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artistā€™s perspective, the computer-generated patterns oļ¬...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 8 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 8 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 8 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a ļ¬tness 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 7 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 diļ¬€erent processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...