Paper Info
Title
Research on Expressway Emergency Vehicle Allocation Based on Improved Particle Swarm Optimization.
Abstract
Firstly, an improved particle swarm optimization algorithm is proposed to solve the allocation of expressway emergency vehicles. Compared with the standard PSO algorithm, the particle population number of the improved PSO algorithm is increased, due to particle flight behavior of different populations is different and particle information between different populations is exchanged, so the swarm population diversity of the improved PSO algorithm is increased, and its ability to jump out of local optimum is improved. Moreover, the improved algorithm is applied to the allocation of emergency vehicles, that is, the mathematical model is established to solve the shortest travel distance of the emergency vehicle, and the mathematical model is optimized by the proposed algorithm to obtain the optimal solution. The experimental results show that the improved algorithm proposed in this paper is feasible and effective to solve the expressway emergency vehicle allocation problem.
Year
DOI
Venue
2016
10.1007/978-3-319-48490-7_17
GENETIC AND EVOLUTIONARY COMPUTING
Keywords
Field
DocType
Particle swarm optimization,Population diversity,Expressway,The allocation of emergency vehicles
Particle swarm optimization,Population,Mathematical optimization,Swarm behaviour,Local optimum,Computer science,Emergency vehicle,Population diversity,Jump
Conference
Volume
ISSN
Citations 
536
2194-5357
0
PageRank 
References 
Authors
0.34
1
1
Name
Order
Citations
PageRank
Lieyang Wu150.74