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Article

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

1
Department of Science and Technology Teaching, China University of Political Science and Law, Beijing 100088, China
2
College of Artificial Intelligence, Guangxi Minzu University, Nanning 530006, China
3
Guangxi Key Laboratories of Hybrid Computation and IC Design Analysis, Nanning 530006, China
*
Author to whom correspondence should be addressed.
Biomimetics 2025, 10(8), 537; https://doi.org/10.3390/biomimetics10080537
Submission received: 27 June 2025 / Revised: 9 August 2025 / Accepted: 11 August 2025 / Published: 15 August 2025

Abstract

A swarm intelligence optimization algorithm called white shark optimizer (WSO) has been proposed and successfully applied in regard to many aspects. In this paper, the location problem of sports facilities is regarded as a multi-objective problem, and the number of residents covered by sports facilities and the Weber problem are introduced as objective functions. A multi-objective white shark optimizer (MOWSO) is proposed, and MOWSO introduced an archived mechanism to store the non-dominated solutions obtained by the algorithm. When the Pareto solutions in the archive overflow, the solutions are removed by calculating the true distance of the Pareto optimal solution. The performance of the MOWSO is verified on CEC 2020 benchmark functions, and the results show that the proposed MOWSO is better than other algorithms in the diversity and distribution of solutions. The MOWSO is applied to solve the rural sports facilities location problem, and a variety of different sports facilities location schemes are obtained. It can provide a variety of options for the location of rural sports facilities, and promote the intelligent design of sports facilities.
Keywords: multi-objective white shark optimizer; benchmark functions; global optimization; rural sports-facilities location; intelligence optimization multi-objective white shark optimizer; benchmark functions; global optimization; rural sports-facilities location; intelligence optimization

Share and Cite

MDPI and ACS Style

Zheng, Y.; Guo, B.; Zhou, Y. Multi-Objective White Shark Optimizer for Global Optimization and Rural Sports-Facilities Location Problem. Biomimetics 2025, 10, 537. https://doi.org/10.3390/biomimetics10080537

AMA Style

Zheng Y, Guo B, Zhou Y. Multi-Objective White Shark Optimizer for Global Optimization and Rural Sports-Facilities Location Problem. Biomimetics. 2025; 10(8):537. https://doi.org/10.3390/biomimetics10080537

Chicago/Turabian Style

Zheng, Yan, Bin Guo, and Yongquan Zhou. 2025. "Multi-Objective White Shark Optimizer for Global Optimization and Rural Sports-Facilities Location Problem" Biomimetics 10, no. 8: 537. https://doi.org/10.3390/biomimetics10080537

APA Style

Zheng, Y., Guo, B., & Zhou, Y. (2025). Multi-Objective White Shark Optimizer for Global Optimization and Rural Sports-Facilities Location Problem. Biomimetics, 10(8), 537. https://doi.org/10.3390/biomimetics10080537

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