Orthogonality and Optimality in Non-Pheromone Mediated Foraging

Kazadi, Sanza; Yang, James N; Park, James; Park, Andrew

doi:10.1007/978-3-642-13495-1_6

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…Certainly, this simplifies the design requirement, but it does not always produce the most efficient swarm possible. For instance, at least one study (Kazadi et al, 2009) describes a system for which the use of two different behavioral "castes" is more efficient than using only one caste, and separating them into two physical groups of robots improves performance. In this paper, we make no restriction as to the type of agents.…”

Section: General Swarm Engineering Considerations 21 Definitionsmentioning

confidence: 99%

Model independence in swarm robotics

Kazadi¹

2009

International Journal of Intelligent Computing and Cybernetics

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PurposeThe purpose of this paper is to examine and illustrate the development of a methodology for generating swarms using lossless flocking.Design/methodology/approachA general methodology for swarm design is described. Examples of this approach in the literature are examined. A general requirement for lossless flocking is developed. The requirement is used in developing two swarm behaviors.FindingsIt is possible to apply the approach to the lossless flocking and to use the swarm condition to develop two swarm behaviors which satisfy this condition in many situations.Research limitations/implicationsThis paper illustrates the general swarm engineering method and demonstrates how it can be properly applied.Originality/valueThe swarm engineering method is used to develop the “quark” model, a new physicomimetic model.

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Section: General Swarm Engineering Considerations 21 Definitionsmentioning

confidence: 99%

Model independence in swarm robotics

Kazadi¹

2009

International Journal of Intelligent Computing and Cybernetics

View full text Add to dashboard Cite

show abstract

Orthogonality and Optimality in Non-Pheromone Mediated Foraging

Cited by 1 publication

References 7 publications

Model independence in swarm robotics

Model independence in swarm robotics

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