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ANTSW
2010
Springer
13 years 6 months ago
Self-organized Task Partitioning in a Swarm of Robots
Abstract. In this work, we propose a method for self-organized adaptive task partitioning in a swarm of robots. Task partitioning refers to the decomposition of a task into less co...
Marco Frison, Nam-Luc Tran, Nadir Baiboun, Arne Br...
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
14 years 3 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
ATAL
2007
Springer
14 years 2 months ago
Auction-based multi-robot task allocation in COMSTAR
Over the past few years, swarm based systems have emerged as an attractive paradigm for building large scale distributed systems composed of numerous independent but coordinating ...
Matthew Hoeing, Prithviraj Dasgupta, Plamen V. Pet...
SWARM
2008
SPRINGER
115views Optimization» more  SWARM 2008»
13 years 8 months ago
Path formation in a robot swarm
We present two swarm intelligence control mechanisms used for distributed robot path formation. In the first, the robots form linear chains. We study three variants of robot chains...
Shervin Nouyan, Alexandre Campo, Marco Dorigo
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
14 years 2 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu