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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
EVOW
2009
Springer
13 years 11 months ago
Staff Scheduling with Particle Swarm Optimisation and Evolution Strategies
The current paper uses a scenario from logistics to show that modern heuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of sta...
Volker Nissen, Maik Günther
CEC
2007
IEEE
14 years 1 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli
ATAL
2008
Springer
13 years 9 months ago
Coalition game-based distributed coverage of unknown environments by robot swarms
We consider the problem of distributed exploration or coverage of an unknown environment by a swarm of mobile minirobots that have limited memory, computation and communication ca...
Ke Cheng, Prithviraj Dasgupta