Ant colony optimization based swarms: implementation for the mine detection application

Munirajan, V.K.; Sahin, Ferat; Cole, Eric

doi:10.1109/icsmc.2004.1398386

Cited by 2 publications

(1 citation statement)

References 10 publications

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Bio-inspired multi-agent systems for reconfigurable manufacturing systems

Leitão

Barbosa

Trentesaux

2012

Engineering Applications of Artificial Intelligence

136

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The current market's demand for customization and responsiveness is a major challenge for producing intelligent, adaptive manufacturing systems. The Multi-Agent System (MAS) paradigm offers an alternative way to design this kind of system based on decentralized control using distributed, autonomous agents, thus replacing the traditional centralized control approach. The MAS solutions provide modularity, flexibility and robustness, thus addressing the responsiveness property, but usually do not consider true adaptation and re-configuration. Understanding how, in nature, complex things are performed in a simple and effective way allows us to mimic nature's insights and develop powerful adaptive systems that able to evolve, thus dealing with the current challenges imposed on manufacturing systems. The paper provides an overview of some of the principles found in nature and biology and analyses the effectiveness of bio-inspired methods, which are used to enhance multi-agent systems to solve complex engineering problems, especially in the manufacturing field. An industrial automation case study is used to illustrate a bio-inspired method based on potential fields to dynamically route pallets.

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