Abstract
A two-layer artificial fish swarm evacuation model based on heterogeneous pheromones is presented in this paper. Firstly, the movements of evacuees are simulated by the behaviors of an artificial fish swarm, including preying, swarming, and following. Then, the positive feedback mechanism of heterogeneous pheromones is introduced to improve evacuation performance. Based on the interaction and communication mechanisms of biological groups of social networks in nature, the perceptual and cooperative model among individuals and between individuals and the environment is established. An optimization scheme based on fish swarms and heterogeneous pheromones is proposed. The simulation and experimental results show that the two-layer evacuation model can optimize the spatial-temporal distribution of people and can finally achieve better evacuation plans. The proposed model and algorithm can provide effective guidance for emergency safety responses and robot cooperative control in intelligent robot systems.
Highlights
The impact of various emergencies on public safety is increasing, which poses a serious threat to the environment required for citizens to engage in various activities
This paper is organized as follows: Section 2 discusses related research on evacuation; Section 3 presents a two-layer evacuation optimization model based on fish swarms and heterogeneous pheromones; Section 4 proposes an artificial fish swarm algorithm based on the pheromone (AFSAP) algorithm; Section 5 compares the results of the experiments and simulations by different approaches; and Section 6 concludes the paper and discusses potential directions in future research
It is indicated that the methods based on AFSA are more efficient than HMERP and Ant colony optimization (ACO), which means that the artificial fish swarm algorithm is more suitable for solving massive evacuation problems
Summary
The impact of various emergencies on public safety is increasing, which poses a serious threat to the environment required for citizens to engage in various activities. Based on the analysis of the phenomena of these biological groups, it can be seen that, without centralized control and global information interaction, these groups complete the aggregation and synchronization of all individuals only through their own local cooperation and their interactions with surrounding individuals. An evacuation crowd is simulated by a fish swarm to obtain simulation results in the inner level, and the simulation results are optimized by heterogeneous pheromones in the outer level. This paper is organized as follows: Section 2 discusses related research on evacuation; Section 3 presents a two-layer evacuation optimization model based on fish swarms and heterogeneous pheromones; Section 4 proposes an artificial fish swarm algorithm based on the pheromone (AFSAP) algorithm; Section 5 compares the results of the experiments and simulations by different approaches; and Section 6 concludes the paper and discusses potential directions in future research
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