Towards Online Partitioning of Agent Sets based on Local Information

A. Goebels, H. Kleine Büning, S. Priesterjahn, and A. Weimer (Germany)

Keywords

Partitioning, MAS, Distributed Computing, Swarm, Task Allocation, Locality

Abstract

This paper deals with the autonomous and uniform parti tioning of very simple, homogeneous agents onto a fixed number of targets in a geometric space. A set of algorithms will be presented and compared according to the quality of the partitioning and the runtime of simulations with differ ent starting conditions. Random and heuristic approaches will be discussed. The algorithm with the most promising experimental results, the Border Switch Strategy (BSS), will be explained and formalized in a detailed way.

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