Fog computing is an interesting technology aimed at providing various processing and storage resources the IoT networks’ edge. Energy consumption one of essential factors that can directly impact maintenance cost CO2 emissions fog environments. be mitigated by effective scheduling approaches, in which tasks are going to mapped on best possible regarding some conflicting objectives. To deal with...

Poor control of the power grid can lead to a total system collapse, causing significant economic losses and possible damage security social peace. Therefore, improving stability, particularly transient has become one major research topics. This paper proposes developed modeling approach that provides optimal stabilizer parameters devices, aiming at electrical network stability by minimizing ang...

Tool products play a pivotal role in assisting individuals various domains, ranging from professional work to everyday tasks. The success of these tools is not solely determined by their functionality but also the quality user experience they offer. Designing tool that effectively engage users, enhance productivity, and provide seamless interaction has become critical focus for researchers prac...

Predicting energy consumption has been a substantial topic because of its ability to lessen wastage and establish an acceptable overall operational efficiency. Thus, this research aims at creating meta-heuristic-based method for autonomous simulation heating cooling loads buildings. The developed is envisioned on two tiers, whereas the first tier encompasses use set meta-heuristic algorithms am...

Flexure hinge is a critical element in positioner of nanoindentation tester. To effectively work, suitable flexure should simultaneously meet multiple objectives, including rotation axis shift, safety factor, and angular deflection. The main aim this article was to illustrate hybrid method the Taguchi method, fuzzy logic, response surface Moth-flame optimization algorithm solve design order enh...

UAV route planning is the key issue for application of in real-world scenarios. Compared with traditional methods, although intelligent optimization algorithm has stronger applicability and performance, it also problem poor convergence accuracy easy to fall into local optimization. Therefore, an method based on chaotic random opposition-based learning cauchy mutation improved Moth-flame (OLTC-M...

Designing an efficient wireless sensor network (WSN) system is considered a challenging problem due to the limited energy supply per node. In this paper, performance of several bi-objective optimization algorithms in providing energy-efficient clustering solutions that can extend lifetime nodes were investigated. Specifically, we use Moth–Flame Optimization (MFO) algorithm and Salp Swarm Algori...

Agriculture is the main source of income, food, employment, and livelihood for most rural people in India. Several crops can be destroyed yearly due to a lack technical skills changing weather patterns such as rainfall, temperature, other atmospheric parameters that play an enormous role determining crop yield profit. Therefore, selecting suitable increase essential aspect improving real-life f...