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ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
14 years 2 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
GECCO
2007
Springer
195views Optimization» more  GECCO 2007»
14 years 11 days 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
HPDC
2005
IEEE
14 years 2 months ago
Genetic algorithm based automatic data partitioning scheme for HPF
good data partitioning scheme is the need of the time. However it is very diflcult to arrive at a good solution as the number of possible dutupartitionsfor a given real lifeprogra...
Sunil Kumar Anand, Y. N. Srikant
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
14 years 4 days ago
An empirical investigation of how and why neutrality affects evolutionary search
The effects of neutrality on evolutionary search have been considered in a number of interesting studies, the results of which, however, have been contradictory. Some researchers ...
Edgar Galván López, Riccardo Poli
AIEDAM
2007
90views more  AIEDAM 2007»
13 years 8 months ago
Assembly synthesis with subassembly partitioning for optimal in-process dimensional adjustability
Achieving the dimensional integrity for a complex structural assembly is a demanding task due to the manufacturing variations of parts and the tolerance relationship between them....
Byungwoo Lee, Kazuhiro Saitou