Evolutionary swarm robotics: genetic diversity, task-allocation and task-switching

Conference paper


Tuci, E. 2014. Evolutionary swarm robotics: genetic diversity, task-allocation and task-switching. ANTS 2014: International Conference on Swarm Intelligence. Brussels, Belgium 10 - 12 Sep 2014 Springer. https://doi.org/10.1007/978-3-319-09952-1_9
TypeConference paper
TitleEvolutionary swarm robotics: genetic diversity, task-allocation and task-switching
AuthorsTuci, E.
Abstract

The goal of this study is to investigate the role of genetic diversity for engineering more resilient evolutionary swarm robotic systems. The resilience of the swarm is evaluated with respect to the capability of the system to re-distribute agents to tasks in response to changes in operating conditions. We compare the performances of two evolutionary approaches: the clonal approach in which the teams are genetically homogeneous, and the aclonal approach in which the teams are genetically heterogeneous. We show that the aclonal approach outperforms the clonal approach for the design of robot teams engaged in two task-allocation scenarios, and that heterogeneous teams tend to rely on less plastic strategies. The significance of this study for evolutionary swarm robotics is discussed and directions for future work are indicated.

Research GroupArtificial Intelligence group
ConferenceANTS 2014: International Conference on Swarm Intelligence
Proceedings TitleInternational Conference on Swarm Intelligence
ISSN0302-9743
ISBN
Hardcover9783319099514
PublisherSpringer
Publication dates
Print01 Jun 2014
Publication process dates
Deposited13 Jun 2017
Accepted01 Mar 2014
Output statusPublished
Additional information

Cite this paper as:
Tuci E. (2014) Evolutionary Swarm Robotics: Genetic Diversity, Task-Allocation and Task-Switching. In: Dorigo M. et al. (eds) Swarm Intelligence. ANTS 2014. Lecture Notes in Computer Science, vol 8667. Springer, Cham

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-09952-1_9
LanguageEnglish
Book titleSwarm Intelligence
Permalink -

https://repository.mdx.ac.uk/item/86zzv

  • 14
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as