[1]XIAO Renbin,WANG Yingcong.A new approach to labor division in swarm intelligence for time allocation problem[J].CAAI Transactions on Intelligent Systems,2019,14(3):438-448.[doi:10.11992/tis.201807014]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
14
Number of periods:
2019 3
Page number:
438-448
Column:
学术论文—机器学习
Public date:
2019-05-05
- Title:
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A new approach to labor division in swarm intelligence for time allocation problem
- Author(s):
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XIAO Renbin1; WANG Yingcong2
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1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technolgy, Wuhan 430074, China;
2. School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
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- Keywords:
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swarm intelligence; labor division; task allocation; activator-inhibitor mechanism; individual-individual interactions; self-organization; time allocation; traffic signal timing
- CLC:
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TP18
- DOI:
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10.11992/tis.201807014
- Abstract:
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In this paper, we use the labor division in swarm intelligence to solve the time allocation problem represented by the traffic signal timing problem of allocating green light time to signal phases, and propose a new bee swarm labor division algorithm (BSLDA). The traffic signal timing problem is analyzed from the perspective of time allocation, and the activator-inhibitor mechanism under labor division is introduced in BSLDA. For each signal phase, BSLDA defines one activator, one inhibitor and three behaviors (i.e., increasing green light time, reducing green light time and keeping green light time). With the activator-inhibitor mechanism, each signal phase in BSLDA could choose appropriate behavior according to environmental change to achieve the time allocation. The real traffic flow data is used in the simulation experiment, and the results show that the proposed approach is effective and suitable for the dynamic traffic signal timing problem in uncertain environment.