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Locating abrupt disaster emergency logistics centres using improved artificial bee colony (IABC) algorithm.

Qiang Sun1, Shupei Liu1

  • 1Shandong University of Technology, Zibo, China.

Science Progress
|May 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an improved artificial bee colony (IABC) algorithm to optimize emergency logistics center locations for reduced costs and increased customer satisfaction during disasters. The IABC algorithm demonstrates superior performance in finding optimal locations and material demands for effective emergency response.

Keywords:
Abrupt disaster emergency logisticsimproved artificial bee colony algorithmlogistics centre locationmulti-objective optimizationtime satisfaction

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Area of Science:

  • Operations Research
  • Disaster Management
  • Logistics Optimization

Background:

  • Emergency management is a complex facility location problem.
  • Limited research exists on horizontal transportation for emergency logistics centers.

Purpose of the Study:

  • Develop a multi-objective model for locating emergency logistics centers.
  • Minimize total cost and maximize customer satisfaction for disaster relief.

Main Methods:

  • Proposed an Improved Artificial Bee Colony (IABC) algorithm.
  • Applied IABC to solve the multi-objective emergency logistics center location problem.

Main Results:

  • IABC algorithm shows enhanced global search capabilities, faster convergence, and better solution accuracy.
  • IABC outperformed standard ABC and GABC algorithms in objective function values and stability.
  • The algorithm effectively determines optimal locations, material demands, and rescue time satisfaction.

Conclusions:

  • The improved ABC algorithm is effective and feasible for emergency logistics optimization.
  • The proposed model provides a robust approach to complex emergency relief logistics.
  • Further refinement of the model is needed to incorporate additional system complexities.