Опубликована: Май 2, 2025

Human migration is a complex phenomenon driven by socioeconomic, political, environmental, and demographic factors. Understanding modeling patterns have become vital for planning, humanitarian response, sustainable development. In parallel, nature-inspired optimization algorithms gained attention solving real-world problems. One emerging algorithm, Migration Optimization (HMO), draws inspiration from the collective behavior of migrating populations models optimal solutions simulating movement agents toward better "settlements" under survival pressure. This paper presents comprehensive review human theories introduces mathematical foundation algorithm. The proposed HMO framework defined with equations compared other metaheuristic methods. effectiveness highlighted through its unique logic, selection pressure, memory-based movement.

Язык: Английский