Multi-agent coalition in network public opinion monitoring based on cloud cultural algorithm

DOI

10.2991/icmemtc-16.2016.221How to use a DOI?

Keywords

multi-agent system; coalition; cloud culture algorithm

Abstract

In the new media environment, the marketing strategy can be made better by constructing a cloud platform of network public opinion monitoring that has huge amounts of technologies. It would be cost a lot of time and money to search agent one by one for achieving the best coalition's behalf in such a platform. In order to solve the above problem, the concept of "ability group" was proposed in this paper. The agents that have the similar ability can be grouped together. The agents in the same "ability group" can cooperate with each other. The complex task can be completed by selecting agents from these "ability group" to form agent coalition. A coalition algorithm based on cloud culture algorithm was proposed. The rules of encoding, selection, crossover and mutation were discussed in detail. The simulation result shows that the approach provides a good way for studying the fusion mechanism of network public opinion monitoring technologies.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sainan Liu
PY  - 2016/04
DA  - 2016/04
TI  - Multi-agent coalition in network public opinion monitoring based on cloud cultural algorithm
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1117
EP  - 1120
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.221
DO  - 10.2991/icmemtc-16.2016.221
ID  - Liu2016/04
ER  -