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Updated: Jul 26, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Green city logistics path planning and design based on genetic algorithm.

Limin Ran1, Shengnan Ran2, Chunmei Meng3

  • 1Flight College, Anyang Institute of Technology, Anyang, Henan, China.

Peerj. Computer Science
|June 22, 2023
PubMed
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This study introduces an enhanced genetic algorithm for logistics routing, improving efficiency for time-sensitive orders and reverse distribution. The new method outperforms other optimization algorithms, ensuring better global solutions.

Keywords:
Green cityImproved genetic algorithmLogistics path planningMetropolis criteria

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Area of Science:

  • Operations Research
  • Computer Science
  • Supply Chain Management

Background:

  • Effective logistics distribution is vital for enterprise competitiveness.
  • Challenges include suboptimal scheduling and reverse distribution logistics.
  • Existing algorithms may struggle with local optimization.

Purpose of the Study:

  • To develop an enhanced genetic algorithm for logistics routing.
  • To address suboptimal scheduling and reverse distribution issues.
  • To improve global optimization capabilities in logistics.

Main Methods:

  • Integration of the Metropolis criterion with a genetic algorithm.
  • Combination of genetic algorithm with simulated annealing for enhanced local search.
  • Preservation of optimal chromosomes and probabilistic acceptance of inferior ones.

Main Results:

  • The proposed genetic algorithm with the Metropolis criterion demonstrates superior performance.
  • Achieved better global optimization compared to standard genetic algorithms.
  • Empirical comparisons show advantages over Ant Colony Optimization, Artificial Bee Colony, and Particle Swarm Optimization.

Conclusions:

  • The enhanced genetic algorithm effectively solves complex logistics routing problems.
  • The integration of Metropolis criterion and simulated annealing improves optimization.
  • This approach offers a robust solution for enhancing logistics efficiency and competitiveness.