An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent Systems
In this paper, we propose an evolutionary game theoretic approach to coordinated control of multi-agent systems. In this mathematical framework, agents play games with their neighbors on the network, and update strategies through local interaction. In order to achieve a certain control objective of...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8819912/ |
| _version_ | 1828884645453758464 |
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| author | Jinming Du |
| author_facet | Jinming Du |
| author_sort | Jinming Du |
| collection | DOAJ |
| description | In this paper, we propose an evolutionary game theoretic approach to coordinated control of multi-agent systems. In this mathematical framework, agents play games with their neighbors on the network, and update strategies through local interaction. In order to achieve a certain control objective of the system, we need to select the appropriate game type, design the calculation and evaluation methods of fitness, specify the interactive constraints and updating rules. During the evolutionary process of the system, agents have no predesigned dynamical equations. They adjust their behavior independently for the purpose of increasing their own benefits. The system achieves its final state in the process of individual interaction and autonomous decision-making. Taking division of labor problem as an example, we demonstrate the proposed control approach in detail. The performance of the theoretical method is verified by simulation on the regular graph, the general connected graphs, and heterogeneous scale-free networks, respectively. |
| first_indexed | 2024-12-13T11:11:44Z |
| format | Article |
| id | doaj.art-2375983033404c1ba4fb664acd32205d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T11:11:44Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2375983033404c1ba4fb664acd32205d2022-12-21T23:48:43ZengIEEEIEEE Access2169-35362019-01-01712429512430810.1109/ACCESS.2019.29382548819912An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent SystemsJinming Du0https://orcid.org/0000-0002-8146-9286Institute of Industrial and Systems Engineering, College of Information Science and Engineering, Northeastern University, Shenyang, ChinaIn this paper, we propose an evolutionary game theoretic approach to coordinated control of multi-agent systems. In this mathematical framework, agents play games with their neighbors on the network, and update strategies through local interaction. In order to achieve a certain control objective of the system, we need to select the appropriate game type, design the calculation and evaluation methods of fitness, specify the interactive constraints and updating rules. During the evolutionary process of the system, agents have no predesigned dynamical equations. They adjust their behavior independently for the purpose of increasing their own benefits. The system achieves its final state in the process of individual interaction and autonomous decision-making. Taking division of labor problem as an example, we demonstrate the proposed control approach in detail. The performance of the theoretical method is verified by simulation on the regular graph, the general connected graphs, and heterogeneous scale-free networks, respectively.https://ieeexplore.ieee.org/document/8819912/Evolutionary game theorymulti-agent systemscoordinated controlcomplex system dynamicsdivision and cooperation |
| spellingShingle | Jinming Du An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent Systems IEEE Access Evolutionary game theory multi-agent systems coordinated control complex system dynamics division and cooperation |
| title | An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent Systems |
| title_full | An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent Systems |
| title_fullStr | An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent Systems |
| title_full_unstemmed | An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent Systems |
| title_short | An Evolutionary Game Coordinated Control Approach to Division of Labor in Multi-Agent Systems |
| title_sort | evolutionary game coordinated control approach to division of labor in multi agent systems |
| topic | Evolutionary game theory multi-agent systems coordinated control complex system dynamics division and cooperation |
| url | https://ieeexplore.ieee.org/document/8819912/ |
| work_keys_str_mv | AT jinmingdu anevolutionarygamecoordinatedcontrolapproachtodivisionoflaborinmultiagentsystems AT jinmingdu evolutionarygamecoordinatedcontrolapproachtodivisionoflaborinmultiagentsystems |