Hybridized Particle Swarm Optimization algorithm: FROG LEAPING concept for solving transportation network design problem

2015 ◽  
Author(s):  
Navid Afkar ◽  
Abbas Babazadeh
Keyword(s):  
Particle Swarm Optimization ◽  
Network Design ◽  
Optimization Algorithm ◽  
Design Problem ◽  
Particle Swarm Optimization Algorithm ◽  
Transportation Network ◽  
Particle Swarm ◽  
Network Design Problem ◽  
Swarm Optimization

scholarly journals A Particle Swarm Optimization Algorithm for the Solution of the Transit Network Design Problem

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 541-555
Author(s):  
Ernesto Cipriani ◽  
Gaetano Fusco ◽  
Sergio Maria Patella ◽  
Marco Petrelli
Keyword(s):  
Particle Swarm Optimization ◽  
Network Design ◽  
Urban Areas ◽  
Design Problem ◽  
Particle Swarm ◽  
Network Design Problem ◽  
Swarm Optimization ◽  
Transit Network ◽  
Efficiency And Effectiveness ◽  
Transit Network Design

The research presented in this paper proposes a Particle Swarm Optimization (PSO) approach for solving the transit network design problem in large urban areas. The solving procedure is divided in two main phases: in the first step, a heuristic route generation algorithm provides a preliminary set of feasible and comparable routes, according to three different design criteria; in the second step, the optimal network configuration is found by applying a PSO-based procedure. This study presents a comparison between the results of the PSO approach and the results of a procedure based on Genetic Algorithms (GAs). Both methods were tested on a real-size network in Rome, in order to compare their efficiency and effectiveness in optimal transit network calculation. The results show that the PSO approach promises more efficiency and effectiveness than GAs in producing optimal solutions.

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