Agent-Based Approach to Dynamic Task Allocation

Authors:
Shervin Nouyan
Affiliations:
-
Venue:
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Year:
2002

Citing 3
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Abstract

We investigate a multi-agent algorithm inspired by the task allocation behavior of social insects for the solution of dynamic task allocation problems in stochastic environments. The problems consist of a certain number of machines and different kinds of tasks. The machines are identical and able tocarry out each task. A setup, which is linked to a fixed cost, is required to switch from one task to another. Agents, which are inspired by the model of division of labour in social insects, are in charge of the machines. Our work is based on previously introduced models described by Cicirello et al. [7] and by Campos et al. [6]. Improvements and their effect on the results are highlighted.