Solenopsis: A Framework for the Development of Ant Algorithms

Amos Brocco, Beat Hirsbrunner, Michele Courant
<span title="">2007</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="" style="color: black;">2007 IEEE Swarm Intelligence Symposium</a> </i> &nbsp;
Network resources management issues in complex and dynamic scenarios require decentralized solutions and adaptive systems to face critical and unattended situations. Bioinspired techniques such as swarm intelligence algorithms, have proved to be robust and suitable for managing tasks like routing, load-balancing or resource discovery. In this paper we describe Solenopsis, a framework for the development, simulation and deployment of ant-algorithms, which is aimed at supporting network
more &raquo; ... middlewares. The system provides a modular and scalable environment that can be distributed over a network. Ants are coded using a simple programming language, and are able to migrate across nodes. Two basic load-balancing algorithms are presented and evaluated, as an example of how this tool works and can be used in practice.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1109/sis.2007.367954</a> <a target="_blank" rel="external noopener" href="">dblp:conf/swis/BroccoHC07</a> <a target="_blank" rel="external noopener" href="">fatcat:idnskcdlnncd7hscqeamsmuaxq</a> </span>
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