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Comparative Analysis of Heuristic Algorithms for Optimizing the Distribution of Medical Equipment in a Crisis

Year: 2025

Type: conference-paper

Abstract: The article presents a comparative analysis of the effectiveness of several heuristic algorithms used to optimize the distribution of medical equipment in a crisis. The key approaches, including the genetic algorithm (GA), the particle swarm optimization algorithm (PSO), and the ant colony optimization algorithm (ACO), are considered, and the performance and accuracy of the problem are investigated. Based on the experiments, the advantages and limitations of each method are determined, and practical recommendations are formulated for choosing the appropriate algorithm, considering the scale of the problem and limited resources. The study's results improve the reliability and efficiency of decision-making in healthcare systems during emergencies.

Source: Environment Technology Resources Proceedings of the International Scientific and Practical Conference

DOI: 10.17770/etr2025vol2.8612

Authors: Iryna Kyrychenko, Artem Oliinyk, Kirill Smelyakov, Loreta Savulioniene, Paulius Sakalys

Institutions: Kharkiv National University of Radio Electronics, Vilnius University of Applied Sciences

Language: English

Topic: Facility Location and Emergency Management

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4411160338

FWCI:

Cites: 16

Cited by:

Related to: 10