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Multi-Objective White Shark Optimizer for Global Optimization and Rural Sports-Facilities Location Problem.

Yan Zheng1, Bin Guo2,3, Yongquan Zhou2,3

  • 1Department of Science and Technology Teaching, China University of Political Science and Law, Beijing 100088, China.

Biomimetics (Basel, Switzerland)
|August 27, 2025
PubMed
Summary
This summary is machine-generated.

A novel multi-objective white shark optimizer (MOWSO) enhances sports facility location planning. This algorithm optimizes resident coverage and location efficiency, offering diverse, intelligent solutions for rural areas.

Keywords:
benchmark functionsglobal optimizationintelligence optimizationmulti-objective white shark optimizerrural sports-facilities location

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Area of Science:

  • Operations Research
  • Computational Intelligence
  • Spatial Optimization

Background:

  • The white shark optimizer (WSO) is a swarm intelligence algorithm with broad applications.
  • Optimizing sports facility locations is a complex, multi-objective challenge.

Purpose of the Study:

  • To propose a multi-objective white shark optimizer (MOWSO) for sports facility location problems.
  • To enhance the diversity and distribution of non-dominated solutions using an archiving mechanism and Pareto optimal solution distance calculation.

Main Methods:

  • Formulating the sports facility location problem as a multi-objective optimization task.
  • Introducing resident coverage and the Weber problem as objective functions.
  • Developing and implementing the MOWSO with an adaptive archive management strategy.

Main Results:

  • MOWSO demonstrated superior performance in solution diversity and distribution compared to other algorithms on CEC 2020 benchmark functions.
  • The algorithm successfully generated various optimal location schemes for rural sports facilities.

Conclusions:

  • MOWSO is an effective algorithm for solving multi-objective optimization problems, particularly in spatial planning.
  • The proposed method provides valuable, diverse options for rural sports facility location, promoting intelligent design and planning.