One of the major tasks structural engineers is to reduce building cost. Thus, an effective optimization elements gaining in importance every day. The teaching-learning-based (TLBO), which one metaheuristic algorithms, for optimum design and analysis timber structures under fire accordance with EN 1995 1-2 (Eurocode 5: Design Timber - Part 1- 2 General design), proposed this study. objective fun...

Vehicular Ad hoc Network (VANET) has become an integral part of Intelligent Transportation Systems (ITS) in today's life. VANET is a network that can be heavily scaled up with number vehicles and road side units keep fluctuating real world. susceptible to security issues, particularly DoS attacks, owing maximum unpredictability location. So, effective identification the classification attacks h...

Unmanned aerial–aquatic vehicles are a new type of aircraft that can navigate in air and underwater. An unmanned rotorcraft (UAAR) is introduced to complete the task navigating between underwater, trajectory optimization problem for this focused on study. The dynamics four-axle with eight rotors operating underwater described. On basis, model established, wherein constraints control variables s...

With the growing popularity, the number of data sources and the amount of data has been growing very fast in recent years. The distribution of operational data on disperse data sources impose a challenge on processing user queries. In such database systems, the database relations required by a query to answer may be stored at multiple sites. This leads to an exponential increase in the number o...

The permeability coefficient (k-value) of the soil is an important parameter used in civil engineering design roads, tunnels, dams, and other structures. However, determination k-value by experimental methods laboratory or field still costly time-consuming. Moreover, it requires special equipment care collection samples for study. Therefore, this study, we have proposed machine learning (ML) hy...

Countries around the world are looking forward to fully sustainable energy by middle of century meet Paris climate agreement goals. This paper presents a novel algorithm optimally operate Egyptian grid with maximum renewable power generation, minimum voltage deviation and losses. The optimal operation is performed using Corona Virus Algorithm (CVO). proposed CVO compared Teaching Learning-Based...

Abstract This paper explicates the joining of AA 6061/TiO 2 composites by friction stir welding (FSW) process. FSW experiments were conducted as per three factors, three-level, central composite ivy– face-centered design method. Mathematical relationships between process parameters, namely tool geometry, speed, and rotational output responses such hardness, yield strength, ultimate tensile stre...

At present, workflow scheduling in cloud computing environment is still a challenging optimization topic due to its NP-complete characteristics. In order obtain better results, researchers are constantly coming up with new methods. this study, we offer hybrid metaheuristic for solving minimize the makespan of considering heterogeneity virtual resources. This approach combines excellent properti...

In the present paper, a novel method for Feature Subset Selection in dataset, FSS-TLBOA (Feature Subset Selection by Teaching Learning Based Optimization Algorithm), is proposed. A dataset can contain several features. Many Clustering methods are designed for clustering low–dimensional data. In high dimensional space finding clusters of data objects is challenging due to the curse of dimensiona...