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Evaluation on flexibility of swarm intelligent system

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4 Author(s)
Fukuda, T. ; Center for Cooperative Res. in Adv. Sci. & Technol., Nagoya Univ., Japan ; Funato, D. ; Sekiyama, K. ; Arai, F.

Many studies on swarm intelligent systems have been presented. However, analytical treatment on swarm intelligence has not been performed sufficiently, because of difficulties in finding general criteria to evaluate system performance. In this paper, we regard flexibility as one property of the robustness, and evaluate the flexibility of swarm intelligent systems. We propose indexes to evaluate the behavior of swarm intelligent systems, which focus an “flexibility”. The proposed indexes provide a way to compare the performance between different swarm intelligent systems. We apply the indexes to evaluate two swarm intelligent systems using computer simulation, and discuss the results

Published in:

Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on  (Volume:4 )

Date of Conference:

16-20 May 1998

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