Foraging constitutes one of the main benchmarks in robotic problems. It is known as the act of searching for objects/tokens and, when found, transport them to one or multiple locations. Swarm intelligence based algorithms have been widely used in foraging problem. The ambient light sensors technology in nowadays robots makes easy using and implementing luminous swarm intelligence-based algorithms such as the Firefly and the Glow-worm algorithms. In this paper, we propose a swarm intelligence-based foraging algorithm called Lévy walk and Firefly Foraging Algorithm (LFFA) which is a hybridizing of the two algorithms Lévy Walk and Firefly Algorithm. Numerical experiments to test the performances are conducted on the ARGoS robotic simulator.

A lévy walk and firefly based multi-robots foraging algorithm

Fortino G.
2019

Abstract

Foraging constitutes one of the main benchmarks in robotic problems. It is known as the act of searching for objects/tokens and, when found, transport them to one or multiple locations. Swarm intelligence based algorithms have been widely used in foraging problem. The ambient light sensors technology in nowadays robots makes easy using and implementing luminous swarm intelligence-based algorithms such as the Firefly and the Glow-worm algorithms. In this paper, we propose a swarm intelligence-based foraging algorithm called Lévy walk and Firefly Foraging Algorithm (LFFA) which is a hybridizing of the two algorithms Lévy Walk and Firefly Algorithm. Numerical experiments to test the performances are conducted on the ARGoS robotic simulator.
978-3-030-34913-4
978-3-030-34914-1
Central Place Foraging (CPF); Firefly algorithm; LFFA algorithm; Lévy Walk; Multi-Robots Foraging (MRF); Swarm intelligence; Swarm Robotics
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11770/299273
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