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A multi-population multi-objective maritime inventory routing optimization algorithm with three-level dynamic

Tianyu Liu1, Jiaping Liu2, He Xu3

  • 1School of Information Engineering, Shanghai Maritime University, Shanghai, 201306, China. liuty@shmtu.edu.cn.

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|April 17, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multi-population-based multi-objective evolutionary algorithm (MP-MOEA) to optimize maritime inventory routing. The MP-MOEA effectively minimizes transportation costs and greenhouse gas emissions, outperforming existing algorithms.

Keywords:
Encoding strategyEvolutionary algorithmIndividual modificationMaritime inventory routing problemMulti-objective optimization

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Area of Science:

  • Operations Research
  • Computational Intelligence
  • Environmental Logistics

Background:

  • Maritime inventory routing problems (MIRP) are complex, requiring optimization of multiple objectives.
  • Minimizing transportation costs and greenhouse gas emissions is crucial for sustainable shipping.

Purpose of the Study:

  • To develop an efficient multi-objective evolutionary algorithm for MIRP.
  • To simultaneously reduce transportation costs and environmental impact in maritime logistics.

Main Methods:

  • A multi-population-based multi-objective evolutionary algorithm (MP-MOEA) is proposed.
  • Novel initialization, dynamic encoding, modification, hybrid crossover, and contribution-based mutation operators are employed.
  • The algorithm is benchmarked against state-of-the-art multi-objective evolutionary algorithms.

Main Results:

  • MP-MOEA demonstrates superior performance in solving maritime inventory routing problems.
  • The algorithm effectively balances convergence and diversity for complex optimization tasks.
  • Experimental results show significant improvements over existing algorithms across various problem scales.

Conclusions:

  • The proposed MP-MOEA is a highly effective approach for complex maritime inventory routing.
  • This algorithm offers a promising solution for sustainable and cost-efficient maritime logistics.
  • MP-MOEA provides a robust framework for tackling multi-objective optimization in shipping operations.