Tree hierarchical directed evacuation network model based on artificial fish swarm algorithm

Abstract

With the increase of emergencies in large public places, emergency evacuation research has become an important and urgent issue. This paper first proposes a tree hierarchical evacuation network. According to the hierarchical path selection strategy, the evacuation routes are obtained and sorted by the length of route. This hierarchical path selection strategy is more realistic than using the straight line distance. An evacuation model based on hierarchical directed evacuation network is presented in this paper, and a hierarchical directed artificial fish swarm algorithm is proposed to solve the evacuation problem. The model simulates the movements of pedestrians by means of preying, swarming, following and waiting behaviors of artificial fish swarm algorithm. During the evacuation process, the effects of congestion, retrograde and blocking time on evacuation speed and route selection are considered. The simulation results show that the proposed model and algorithm can effectively improve the evacuation efficiency in a stadium, and provide scientific and reasonable path guidance.

Research on the Development Support Strategy of Cultural Enterprises Based on Fish Swarm Algorithm under the Background of Public Health

“…Too many supporting policies will greatly weaken the government's economy and affect the support for other enterprises. Too few support strategies are not conducive to performing arts enterprises to survive the crisis [ 1 ]. How to choose the support strategy of performing arts enterprises and achieve accurate support is a problem that the government needs to solve at present.…”

Diversity Operators-based Artificial Fish Swarm Algorithm to Solve Flexible Job Shop Scheduling Problem

“…The AF model is made up of two parts: variables and functions. The variables section contains the following items: 𝑋 denotes the current position of AF, which is represented as an array 𝑋 = [𝑥1, 𝑥2 … 𝑥𝑛], step denotes the maximum length of the movement step, and the functions component covers three AF behaviors: preying behavior, swarming behavior, and following behavior [24][25][26][27] . Visual refers to the visual distance of AF, try number is the maximum number of searching tours within the visible distance, and a crowd factor (δ) (0 < 𝛿 < 1).…”

An Artificial Fish Swarm Scheme Based on Heterogeneous Pheromone for Emergency Evacuation in Social Networks

“…The stands, bleachers, stairs, exits, and passages are considered as nodes to construct the evacuation network, and there are 157 nodes in total. In this paper, the evacuation results of the four approaches, including the ACO algorithm [36], the HMERP algorithm [37], the HDAFSA algorithm [38], and the AFSAP algorithm, were implemented and compared. The parameters of the AFSAP algorithm are listed in Table 1.…”