Title :
The Research of Emergency Service Nodes Location Model Based on Improved Genetic Algorithm
Author :
Chang Xiang-quan ; Wang Yan-fang
Author_Institution :
Sch. of Manage., Univ. of Jinan, Jinan, China
Abstract :
An approach for emergency service nodes location problem based on improved genetic algorithm is proposed. An optional model of the least emergency service nodes allocation by a deadline line is established, which is much more suitable for the actual emergency service nodes location. The genetic algorithm designed for location model is improved by the genetic seeds, which produce the original population and filial generation population. The example was given showing the feasibility and effectiveness of the proposed approach.
Keywords :
emergency services; genetic algorithms; deadline line; emergency service nodes location; genetic algorithm; genetic seeds; least emergency service nodes allocation; Algorithm design and analysis; Design optimization; Disaster management; Emergency services; Genetic algorithms; Mechanical engineering; NP-hard problem; Polynomials; Roads; Testing; emergency; genetic algorithm; location; model;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.400
