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...

Disassembly Sequence Planning (DSP) is a challenging NP-hard combinatorial optimization problem. As a new and promising population-based evolutional algorithm, the Teaching–Learning-Based Optimization (TLBO) algorithm has been successfully applied to various research problems. However, TLBO is not capable or effective in DSP optimization problems with discrete solution spaces and complex disass...

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...

The availability of sustainable, efficient electricity access is critical for rural communities as it can facilitate economic development and improve the quality life residents. Isolated microgrids provide a solution electrification, they generate from local renewable energy sources operate independently central grid. Residential load scheduling also an important aspect management in isolated m...

In the event of a fault isolation process, all loads located downstream from faulted point become out service, and as consequence, power interruption affects greater portion radial distribution system. This paper proposes an optimal Service Restoration (SR) method that entails changing network topology configuration via tie-switch section switch combinations. However, when is performed, it resu...

This research proposes an enhanced teaching–learning based optimization (ETLBO) algorithm to realize efficient path planning for a mobile robot. Four strategies are introduced accelerate the (TLBO) and optimize final path. Firstly, divide-and-conquer design, coupled with Dijkstra method, is developed problem transformation so as pave way deployment. Secondly, interpolation method utilized smoot...

1 Hybrid Clustering using Elitist Teaching Learning-Based Optimization: An Improved Hybrid Approach of TLBO D.P. Kanungo, Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology (VSSUT), Odisha, India Janmenjoy Nayak, Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology (VSSUT)...

A high accurate and low-voltage analog CMOS current divider which operates with a single power supply voltage is designed in 0.18µm CMOS standard technology. The proposed divider uses a differential amplifier and transistor in triode region in order to perform the division. The proposed divider is modeled with neural network while TLBO algorithm is used to optimize it. The proposed optimiza...