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2018 | OriginalPaper | Chapter

Collaborative Agent Teams (CAT): From the Paradigm to Implementation Guidelines

Authors : Marc-André Carle, Alain Martel, Nicolas Zufferey

Published in: Bioinspired Optimization Methods and Their Applications

Publisher: Springer International Publishing

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Abstract

We propose a general solution method framework based on a Collaborative Agent Teams (CAT) architecture to tackle large-scale mixed-integer optimization problems with complex structures. This framework introduces several conceptual improvements over previous agent teams’ approaches. We discuss how to configure the three key components of a CAT solver for multidimensional optimization problems: the problem representation, the design of agents, and the information sharing mechanisms between agents. Implementation guidelines are also given.

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previous chapter Cooperative Model for Nature-Inspired Algorithms in Solving Real-World Optimization Problems

next chapter A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics

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Title: Collaborative Agent Teams (CAT): From the Paradigm to Implementation Guidelines
Authors: Marc-André Carle
Alain Martel
Nicolas Zufferey
Publisher: Springer International Publishing
Book: Bioinspired Optimization Methods and Their Applications
Print ISBN: 978-3-319-91640-8

Electronic ISBN: 978-3-319-91641-5

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91641-5_6

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