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GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 7 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 7 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
GECCO
2008
Springer
113views Optimization» more  GECCO 2008»
15 years 7 months ago
Genetic programming based automatic gait generation for quadruped robots
This paper introduces a new approach to develop a fast gait for quadruped robot using genetic programming (GP). Several recent approaches have focused on the genetic algorithm (GA...
Kisung Seo, Soohwan Hyun
GECON
2008
Springer
134views Business» more  GECON 2008»
15 years 7 months ago
Rational Bidding Using Reinforcement Learning
The application of autonomous agents by the provisioning and usage of computational resources is an attractive research field. Various methods and technologies in the area of arti...
Nikolay Borissov, Arun Anandasivam, Niklas Wirstr&...
AR
2008
188views more  AR 2008»
15 years 6 months ago
Intentional Control for Planetary Rover SRR
Intentional behavior is a basic property of intelligence and it incorporates the cyclic operation of prediction, testing by action, sensing, perceiving, and assimilating the exper...
Robert Kozma, Terry Huntsberger, Hrand Aghazarian,...