Year: 2025
Type: article
Abstract: Human migration is a complex phenomenon driven by socioeconomic, political, environmental, and demographic factors. Understanding and modeling migration patterns have become vital for planning, humanitarian response, and sustainable development. In parallel, nature-inspired optimization algorithms have gained attention for solving complex real-world problems. One emerging algorithm, Human Migration Optimization (HMO), draws inspiration from the collective behavior of migrating populations and models optimal solutions by simulating the movement of agents toward better "settlements" under survival pressure. This paper presents a comprehensive review of human migration theories and introduces a mathematical foundation for the Human Migration Optimization algorithm. The proposed HMO framework is defined with mathematical equations and compared with other metaheuristic methods. The effectiveness of HMO is highlighted through its unique migration logic, selection pressure, and memory-based movement.
DOI: 10.22399/ijasrar.29
Authors: Mitat Uysal, Aynur Uysal, Elif Erçelik
Institution: Doğuş University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410062068