Parameter Selection In Particle Swarm Optimization For Transportation Network Design Problem
Optimization and Control
2015-02-04 v3 Neural and Evolutionary Computing
Abstract
In transportation planning and development, transport network design problem seeks to optimize specific objectives (e.g. total travel time) through choosing among a given set of projects while keeping consumption of resources (e.g. budget) within their limits. Due to the numerous cases of choosing projects, solving such a problem is very difficult and time-consuming. Based on particle swarm optimization (PSO) technique, a heuristic solution algorithm for the bi-level problem is designed. This paper evaluates the algorithm performance in the response of changing certain basic PSO parameters.
Cite
@article{arxiv.1412.7185,
title = {Parameter Selection In Particle Swarm Optimization For Transportation Network Design Problem},
author = {Mehran Fasihozaman Langerudi},
journal= {arXiv preprint arXiv:1412.7185},
year = {2015}
}
Comments
21 pages, 11 Figures