This paper presents a survey of the articles published in period 2013–2021 related to application teaching–learning-based optimization (TLBO), which reproduces dynamics that occur classroom with teacher and student. uses algorithm optimize some objective functions design electronics field. A total 62 papers were reviewed graphs generated summarize most relevant these articles. These have been c...

The early detection of the transformer faults with high accuracy rates guarantees continuous operation power system networks. Dissolved gas analysis (DGA) is a technique that used to detect or diagnose based on dissolved gases due electrical and thermal stresses influencing insulating oil. Many attempts are accomplished discover an appropriate correctly fault types, such as Duval Triangle metho...

In this work, a new and effective algorithm called hybrid teaching–learning-based optimization (TLBO) charged system search (CSS) algorithms (HTC) are proposed to solve engineering mathematical problems. The CSS is inspired by Coulomb Gauss’s electrostatic laws of physics as well the Newtonian mechanic motion. TLBO interaction between teacher student in classroom. Usually, gets trapped local op...

This study provides a teaching-learning-based optimization (TLBO) path planning method for an autonomous vehicle in cluttered environment, which takes into account smoothness and the possibility of collision with nearby obstacles. The problem is tackled as multiobjective order to plan efficient that allows travel autonomously crowded settings. TLBO algorithm is used find ideal path, goals fin...

As the Internet of Things (IoT) and mobile devices have rapidly proliferated, their computationally intensive applications developed into complex, concurrent IoT-based workflows involving multiple interdependent tasks. By exploiting its low latency high bandwidth, edge computing (MEC) has emerged to achieve high-performance computation offloading these satisfy quality-of-service requirements de...