A platform for research: civil engineering, architecture and urbanism
A Improved Bus Timetable Scheduling Model Using Quantum Genetic Algorithm Based on Penalty Strategy
A Improved Bus Timetable Scheduling Model Using Quantum Genetic Algorithm Based on Penalty Strategy
A Improved Bus Timetable Scheduling Model Using Quantum Genetic Algorithm Based on Penalty Strategy
Tang, X.L. (author) / Yang, S.H. (author) / Zhang, Xiangdong / Li, Hongnan / Feng, Xiating
International conference; 2nd, Civil engineering and transportation; Sustainable development of urban infrastructure: selected, peer reviewed papers from the 2nd international conference on civil engineering and transportation (ICCET 2012), October 27-28 2012, Guilin, China / ; 2012 ; Guilin, China
2013-01-01
4 pages
Includes bibliographical references and index.
Conference paper
English
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Optimization of Subway Departure Timetable by Genetic Algorithm
TIBKAT | 2019
|Optimization of Subway Departure Timetable by Genetic Algorithm
Springer Verlag | 2019
|Train Timetable Optimizing and Rescheduling Based on Improved Particle Swarm Algorithm
British Library Online Contents | 2010
|Assignment model for timetable-based systems
British Library Conference Proceedings | 1999
|A Timetable-based Transit Assignment Model
Taylor & Francis Verlag | 2004
|