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WorldCIST'19 - 7th World Conference on Information Systems and Technologies

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Comparison of Evolutionary Algorithms for Coordination of Cooperative Bioinspired Multirobots

This paper compares optimal path planning algorithms based on a Genetic Algorithm and a Particle Swarm Optimization algorithm applied to multiple bioinspired robots in a 2D environment simulation. The planning objectives are related to the harvesting of an apple plantation in which three swarm of butterflies were run, counting the fruits on the ground to optimize the harvest in a cooperative way. Robotic swarms must travel through points on the map to count the fruits. The time for each swarm was also counted for the comparison results.

Aratã Andrade Saraiva
UTAD
Portugal

Franscisco Vinicius Nascimento da Silva
UESPI
Brazil

José Vigno Moura Sousa
UESPI
Brazil

Nuno Miguel Fonseca Ferreira
Universidade de Coimbra
Portugal

Antonio Valente
UTAD
Portugal

 


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