Multi-Objective Gannet Optimization Algorithm for Dynamic Passenger Flow Allocation in Train Operation Plan Optimization

This paper proposes a multi-objective Gannet Optimization Algorithm (MOGOA) to address the issue of unbalanced train occupancy rates in railway train operation planning. MOGOA employs an adaptive multi-population co-evolutionary strategy to balance exploration and exploitation, utilizing a non-domin...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.103693-103711
Hauptverfasser:	Zhao, Ming-Li, Ni, Shao-Quan, Du, Zhi-Gang, Wang, Xiao-Yang, Tian, Ai-Qing, Ma, Xiao-Long
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive multi-population co-evolutionary strategy Costs Heuristic algorithms Multi-objective optimization Multiple objective analysis non-dominated sorting algorithm based on the crowding distance Optimization Passengers Planning Rail transportation Search problems Sorting Sorting algorithms train operation plan problem Travel time
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