@inproceedings{18acc0adf4b74008b5b83d72d541585a,
title = "Sensor deployment for air pollution monitoring using public transportation system",
abstract = "Air pollution monitoring is a very popular research topic and many monitoring systems have been developed. In this paper, we formulate the Bus Sensor Deployment Problem (BSDP) to select the bus routes on which sensors are deployed, and we use Chemical Reaction Optimization (CRO) to solve BSDP. CRO is a recently proposed metaheuristic designed to solve a wide range of optimization problems. Using the real world data, namely Hong Kong Island bus route data, we perform a series of simulations and the results show that CRO is capable of solving this optimization problem efficiently.",
keywords = "Air pollution, chemical reaction optimization, evolutionary algorithm, public transportation",
author = "Yu, \{James J.Q.\} and Li, \{Victor O.K.\} and Lam, \{Albert Y.S.\}",
year = "2012",
doi = "10.1109/CEC.2012.6256495",
language = "英语",
isbn = "9781467315098",
series = "2012 IEEE Congress on Evolutionary Computation, CEC 2012",
booktitle = "2012 IEEE Congress on Evolutionary Computation, CEC 2012",
note = "2012 IEEE Congress on Evolutionary Computation, CEC 2012 ; Conference date: 10-06-2012 Through 15-06-2012",
}