Intelligent Optimization of Urban real-time traffic route based on Improved non-dominated Sorting Genetic Algorithm

DOI

10.2991/mmebc-16.2016.415How to use a DOI?

Keywords

improved non-dominated sorting, genetic algorithm, traffic, route

Abstract

Urban traffic is a real-time change, so the traditional serial algorithm cannot satisfy the requirement of traffic scale and condition changes. Therefore, this paper proposes a improved non-dominated sorting genetic algorithm for route optimization problem of multi-objects. Firstly, through the analysis of the optimization of the Pareto front solution set and the complexity of the algorithm, we determine the multi-objects problem to be optimized, and then we convert the problem into optimization problem of single-object fitness function, which is named as elitism mechanism. Through the strategy, we can obtain the optimal solution of real-time traffic condition.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Ming Zhu
AU  - Bo Su
AU  - Gangmin Ning
PY  - 2016/06
DA  - 2016/06
TI  - Intelligent Optimization of Urban real-time traffic route based on Improved non-dominated Sorting Genetic Algorithm
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 2072
EP  - 2077
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.415
DO  - 10.2991/mmebc-16.2016.415
ID  - Zhu2016/06
ER  -