Historical evolution and benefit-cost explanation of periodical fluctuation in coal mine safety supervision: an evolutionary game analysis framework
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Publication:319258
DOI10.1016/j.ejor.2014.12.046zbMath1346.91030OpenAlexW2000175378MaRDI QIDQ319258
Hongyi Li, Dehai Liu, Xingzhi Xiao, Wei-Guo Wang
Publication date: 6 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2014.12.046
evolutionary gameOR in societal problem analysiscoal mine accidentsgovernment safety supervisionperiodical fluctuation
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Cites Work
- The evolutionary dynamics of audit
- An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness
- Evolutionary stability of auction and supply chain contracting: an analysis based on disintermediation in the Indian tea supply chains
- Wholesale pricing and evolutionarily stable strategies of retailers with imperfectly observable objective
- Evolutionarily stable strategies and game dynamics
- Reservoir flood control operation based on chaotic particle swarm optimization algorithm
- Optimal Allocation of Resources in Airport Security: Profiling vs. Screening
- Confronting Entrenched Insurgents
- Balancing Terrorism and Natural Disasters—Defensive Strategy with Endogenous Attacker Effort
- Mining Coal or Finding Terrorists: The Expanding Search Paradigm
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