Multi-Robot Exploration based on Swarm Optimization Algorithms

M. S. Couceiro, N. M. F. Ferreira, and R. Rocha

Proc. of 7th European Nonlinear Dynamics Conference (ENOC’2011), Rome, Italy, Jul. 24-29, 2011.

Abstract

The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the well-known Particle Swarm Optimization (PSO) using natural selection, or survival-of-the-fittest, to enhance the ability to escape from local optima. In this paper, it is explored the effectiveness of using a modified version of both PSO and DPSO, respectively named as R-PSO and R-DPSO, on groups of simulated robots performing a distributed exploration task.

Index Terms — Multi-robot exploration, particle swarm optimization, survival-of-the-fittest.

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BibTeX

@INPROCEEDINGS(Couceiro_et_al_11a,

AUTHOR = "Couceiro, M. and Ferreira, N. and Rocha, R.",

TITLE = "Multi-Robot Exploration based on Swarm Optimization Algorithms",

BOOKTITLE = "In Proc. of 7th European Nonlinear Dynamics Conference (ENOC’2011)",

ADDRESS = "Rome, Italy",

YEAR = "2011",

MONTH = "Jul."

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Last update: 22/09/2011