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A Hybrid Heuristic Optimization Approach for Green Flatcar Transportation Scheduling in Shipbuilding

EasyChair Preprint 3676

10 pagesDate: June 24, 2020

Abstract

To increase efficiency and decrease energy in fierce competition, higher standard of transportation scheduling mode for shipbuilding is necessary and urgent. By analyzing the “one-vehicle and one-cargo” transportation scheduling problem in shipbuilding, this paper proposes a bi-objective mathematical model and design a Multi-Objective Tabu Search algorithm(MOTS) to minimize total carbon emission and transportation time cost. Further, to improve the computation performance of the solution method, we combined NSGA-Ⅱ and MOTS to design a hybrid heuristic algorithm. Computational experiments compare three optimizing approaches and reveal that MOTS and NSGAⅡ-MOTS have certain advantages in terms of solution effect and convergence speed in large-scale instances. The case shows the proposed optimization approach can reduce carbon emissions by 61.22% for daily transportation.

Keyphrases: Muti-objective optimization, green transportation scheduling, hybrid heuristic optimization, ship block transportation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:3676,
  author    = {Yini Chen and Zuhua Jiang and Baihe Li},
  title     = {A Hybrid Heuristic Optimization Approach for Green Flatcar Transportation Scheduling in Shipbuilding},
  howpublished = {EasyChair Preprint 3676},
  year      = {EasyChair, 2020}}
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