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» Information in Crowds: The Swarm Information Model
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
CEC
2009
IEEE
14 years 2 months ago
Robot path planning in uncertain environments based on particle swarm optimization
— We propose a robot path planning method based on particle swarm optimization in an uncertain environment. We consider the case that a robot’s cognition to its environment is ...
Dunwei Gong, Li Lu, Ming Li
WWW
2008
ACM
14 years 8 months ago
Using the wisdom of the crowds for keyword generation
In the sponsored search model, search engines are paid by businesses that are interested in displaying ads for their site alongside the search results. Businesses bid for keywords...
Ariel Fuxman, Panayiotis Tsaparas, Kannan Achan, R...
ICIP
2007
IEEE
14 years 9 months ago
Fast Detection of Independent Motion in Crowds Guided by Supervised Learning
Different from appearance-based methods, clustering feature points only by their motion coherence is an emerging category of approach to detecting and tracking individuals among c...
Yuan Li, Haizhou Ai
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
Bayesian optimization models for particle swarms
We explore the use of information models as a guide for the development of single objective optimization algorithms, giving particular attention to the use of Bayesian models in a...
Christopher K. Monson, Kevin D. Seppi