DocumentCode
2248643
Title
City group optimization
Author
Yang, Yijun ; Duan, Haibin
Author_Institution
Bio-inspired Autonomous Flight Systems (BAFS) Research Group, School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing 100191, P.R. China
fYear
2015
fDate
28-30 July 2015
Firstpage
2568
Lastpage
2572
Abstract
In this paper, we propose a novel swarm intelligence optimization algorithm-city group optimization (CGO). CGO loosely mimics the evolution of city group. The basic components of CGO include road network, position updating rules, and transportation hub updating. These components are inspired by the evolutionary phenomena in city group. The detailed implementation procedure is also given. Series of comparative experiments on six benchmark functions with particle swarm optimization (PSO) are conducted, and the results verify the feasibility and effectiveness of our proposed CGO in solving continuous optimization problems.
Keywords
Benchmark testing; Cities and towns; Optimization; Particle swarm optimization; Roads; Standards; City group optimization (CGO); Continuous problems; Swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260034
Filename
7260034
Link To Document