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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Vydané v:	IEEE access Ročník 11; s. 103693 - 103711
Hlavní autori:	Zhao, Ming-Li, Ni, Shao-Quan, Du, Zhi-Gang, Wang, Xiao-Yang, Tian, Ai-Qing, Ma, Xiao-Long
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
ISSN:	2169-3536, 2169-3536
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