A STOCHASTIC TIMETABLE OPTIMIZATION MODEL IN SUBWAY SYSTEMS

DOI10.1142/S0218488513400011zbMath1322.90038MaRDI QIDQ3195011

Xiang Li, Xin Yang

Publication date: 21 October 2015

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

zbMATH Keywords

stochastic optimizationgenetic algorithmtimetableregenerative brakingsubway systems

Mathematics Subject Classification ID

Stochastic programming (90C15) Stochastic scheduling theory in operations research (90B36) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

A robust train timetable optimization approach for reducing the number of waiting passengers in metro systems

Cites Work

• A Green train scheduling model and fuzzy multi-objective optimization algorithm
• Computing delay resistant railway timetables
• Schedule synchronization for public transit networks
• Minimizing waiting times in integrated fixed interval timetables by upgrading railway tracks
• Nominal and robust train timetabling problems
• Generation of classes of robust periodic railway timetables
• A MULTI-OBJECTIVE GENETIC ALGORITHM FOR TUNING AND RULE SELECTION TO OBTAIN ACCURATE AND COMPACT LINGUISTIC FUZZY RULE-BASED SYSTEMS
• Light Robustness
• Knowledge-based system for railway scheduling
• Two-Way Traffic on a Single Line of Railway
• DEVELOPMENT OF FUZZY REGRESSION MODELS USING GENETIC ALGORITHMS

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