Boosting E-commerce Efficiency with Improved Slime Mold Algorithm

A study in the International Journal of Reasoning-based Intelligent Systems introduces BOSMA, an improved slime mold algorithm for e-commerce cloud data migration. The algorithm balances exploration and exploitation to optimize data migration, reducing energy costs and improving efficiency. BOSMA recruits mobile devices and edge computing terminals to dynamically adjust for communication delays and other constraints, leading to energy savings. The study aims to improve performance and sustainability for e-commerce systems.

A recent study published in the International Journal of Reasoning-based Intelligent Systems introduces BOSMA, a novel slime mold algorithm designed to optimize data migration in e-commerce cloud computing environments. The algorithm, developed by researchers, aims to enhance both performance and energy efficiency, addressing critical challenges faced by growing e-commerce platforms.

At the heart of BOSMA is the Balanced Optimization Slime Mold Algorithm (BOSMA), a heuristic optimization technique inspired by the natural behavior of slime molds. Slime molds are known for their ability to navigate complex environments and adapt to changing conditions without a central control system. This decentralized, probabilistic behavior is translated into mathematical rules to solve complex computational problems, such as network routing, task scheduling, and data migration.

BOSMA incorporates two key enhancements over simple slime mold algorithms (SMAs). First, it includes a balanced optimization operator that fine-tunes the algorithm's balance between exploration (seeking new solutions) and exploitation (refining known solutions). Second, it introduces a stochastic difference variance operator, which injects randomness into the search process to avoid early convergence on inferior solutions.

The study demonstrates BOSMA's effectiveness in tackling the data migration problem, a significant challenge in high-volume e-commerce operations. By recruiting mobile devices and edge computing terminals, BOSMA dynamically adjusts for communication delays and other operational constraints, reassigning tasks to the processing environment that delivers the greatest energy savings. This approach significantly reduces energy costs and improves overall efficiency.

The research team used BOSMA to optimize data migration, showcasing its potential to enhance the sustainability and performance of e-commerce systems. The findings highlight the importance of innovative algorithms in addressing the growing demands of cloud computing in the e-commerce sector.

References:
[1] https://techxplore.com/news/2025-06-slime-mold-algorithm-boosts-efficiency.html