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» An evolutionary method for complex-process optimization
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99
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CEC
2007
IEEE
15 years 6 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
97
Voted
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
15 years 4 months ago
Combining genetic algorithms with squeaky-wheel optimization
The AI optimization algorithm called "Squeaky-Wheel Optimization" (SWO) has proven very effective in a variety of real-world applications. Although the ideas behind SWO ...
Justin Terada, Hoa Vo, David Joslin
115
Voted
ENGL
2008
122views more  ENGL 2008»
15 years 17 days ago
Real-Time Population Based Optimization for Adaptive Motion Control of Robot Manipulator
A population based real-time optimization method for tuning dynamic position control parameters of robot manipulators has been proposed. Conventionally, the positional control is a...
Mehmet Bodur
81
Voted
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 4 months ago
Discrimination of metabolic flux profiles using a hybrid evolutionary algorithm
Studying metabolic fluxes is a crucial aspect of understanding biological phenotypes. However, it is often not possible to measure these fluxes directly. As an alternative, fluxom...
Stefan Bleuler, Eckart Zitzler
79
Voted
CEC
2005
IEEE
15 years 6 months ago
Multiobjective financial portfolio design: a hybrid evolutionary approach
—A principal challenge in modern computational finance is efficient portfolio design – portfolio optimization followed by decision-making. Optimization based on even the widely...
Raj Subbu, Piero P. Bonissone, Neil Eklund, Sriniv...