Method for establishing high-rise building personnel evacuation bioluminescence particle swarm optimization algorithm model

Abstract

The invention discloses a method for establishing a high-rise building personnel evacuation bioluminescence particle swarm optimization algorithm model. Firstly, based on the biological principle in the natural fluorescent family, behaviors of finding mates or foraging in the fluorescent family through luminescence behaviors are simulated, a fire fly swarm algorithm in the fluorescent family serves as a main algorithm, a particle swarm optimization serves as an auxiliary algorithm, evolution operators such as random self-adaptive step size, strong search, weak search, large-scale evacuation are embedded, and the strategy of partial fusion is adopted; then, LPSO convergence analysis authentication is completed from theoretical and experimental simulation; lastly, the high similarity of fluorescence particle swarm optimization algorithm features and personnel evacuation self features is used. According to the method for establishing the high-rise building personnel evacuating bioluminescence particle swarm optimization algorithm model, the dynamic simulation of complex personnel evacuation behaviors under emergent situations is achieved through certain simple rules, and thus a personnel escape route can be made more reasonably, more conveniently and more effectively. Scientific theoretical bases are provided for building performance design, building space personnel emergent evacuation plan making and building safe evacuation performance evaluation.

Description

technical field [0001] The invention belongs to the frontier research field of intelligent computing and safety evacuation technology in high-rise building fires, and in particular relates to a method for establishing a bioluminescent particle swarm optimization algorithm model for evacuating high-rise building personnel. Background technique [0002] Intelligent computing is an evolutionary computing model proposed based on the natural phenomena or processes of groups in nature. This mode has the characteristics of generality, robustness, simplicity, high efficiency, and convenience for parallel processing. It is recognized as a frontier research field that has a great impact on modern optimization theories and methods. Intelligent computing technology has been successfully applied in the fields of complex problem solving, robotics, power system, network and communication, biomedicine, computer, transportation, metallurgical automation and semiconductor, and has been used i...

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Problems solved by technology

[0009] The purpose of the implementation of the present invention is to provide a method for establishing a bioluminescent particle swarm optimization algorithm model for evacuation of high-rise building personnel, aiming to solve the problem that the existing safe evacuation simulation methods in high-rise building fires cannot adapt to modern complex and highly intelligent problems. question

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