Simultaneous planning of liner ship speed optimization, scheduling and fleet deployment with container transhipment

Owing to substantial growth in global waterborne trade volumes and changes in climate, shipping companies must enhance operational and energy efficiency. A multi-objective mixed-integer nonlinear programming (MINLP) model is proposed to optimize service schedules, fleet, vessel speed, and cargo flow...

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Vydáno v:	Engineering optimization Ročník 57; číslo 10; s. 3064 - 3100
Hlavní autoři:	Mandal, Jasashwi, Goswami, Adrijit, Thakur, Lakshman, Tiwari, Manoj Kumar, Bhide, Nitish
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Abingdon Taylor & Francis 03.10.2025 Taylor & Francis Ltd
Témata:	Cargo ships Clustering container transhipment Decisions Evolutionary algorithms fleet deployment Genetic algorithms Liner ship speed optimization Mixed integer multi-objective evolutionary algorithm (MOEA) Multiple objective analysis Nonlinear programming Optimization payload-speed dependent fuel consumption Scheduling Shipping Sorting algorithms Tradeoffs
ISSN:	0305-215X, 1029-0273
On-line přístup:	Získat plný text
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