Simulation optimization of emergency refuge chamber based on particle swarm optimization

Yanbing Ju*, Yuming Yin, Aihua Wang, Yufang Yin

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)

    Abstract

    Underground mining is a hazardous industrial activity. The harsh physical environment contributes great hindrances or constraints to identify the risk accidents in underground coalmine. Although emergency refuge chamber is important to reduce coal mine accident casualty, types of mining accidents and quantities of emergency supplies are uncertain. So how to reasonably determine the emergency supplies storage quantity and the proportion is particularly important. In this paper, we introduce loss utility to measure the loss of shortage of supplies. With the analysis of the characteristics of mine disaster and requirements of rescue, this paper establishes a mathematical model to determine the optimal storing by utilizing with particle swarm optimization (PSO). At last, integration of Particle Swarm Optimization (PSO) program and simulation software Arena is introduced to optimize the simulation model to maximize the utility of emergency supplies.

    Original languageEnglish
    Pages (from-to)154-161
    Number of pages8
    JournalJournal of Convergence Information Technology
    Volume6
    Issue number7
    DOIs
    Publication statusPublished - Jul 2011

    Keywords

    • Arena
    • Emergency refuge chamber
    • Particle swarm optimization

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