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GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
13 years 10 months ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye
MM
2006
ACM
143views Multimedia» more  MM 2006»
14 years 1 months ago
Motion swarms: video interaction for art in complex environments
We create interactive art that can be enjoyed by groups such as audiences at public events with the intent to encourage communication with those around us as we play with the art....
Quoc Nguyen, Scott Novakowski, Jeffrey E. Boyd, Ch...
ICRA
2008
IEEE
178views Robotics» more  ICRA 2008»
14 years 1 months ago
Surface based wireless power transmission and bidirectional communication for autonomous robot swarms
—We introduce an inexpensive, low complexity power surface system capable of simultaneously providing wireless power and bidirectional communication from a surface to multiple mo...
Travis Deyle, Matthew S. Reynolds
CEC
2010
IEEE
13 years 5 months ago
Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 7 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein