The shape design of the Tubular Linear Synchronous Motor (TLSM) is a critical engineeri ng optimization problem which was handled as single- and multi-objective frameworks. However, different practical constraints for TLSM must be efficiently guaranteed. This paper proposes developed to maximize operating force minimize flux saturation. In this regard, Multi-objective Grey Wolf Optimizer (MGWO)...

Abstract In the field of transformer fault diagnosis, there are many diagnostic methods. These methods either not high accuracy or used too long. this paper, a dimension learning-based hunting (DLH) search strategy optimization grey wolf algorithm support vector machine (DLH-GWO-SVM) model was proposed. process initializing population, logistic chaotic mapping to improve quality initial positio...

Microgrid control in isolated mode is a highly important subject area. In the present paper, a new method is used for controlling the isolated microgrids. This method was used based on the classification of the microgrids into two groups, namely fast-dynamic (battery and flywheel) and slow-dynamic (diesel generator, electrolyzer, fuel cell). For the microgrid components with fast dynamics, a se...

The flexible job shop scheduling problem (FJSP) is of great importance for realistic manufacturing, and the has been proven to be NP-hard (non-deterministic polynomial time) because its high computational complexity. To optimize makespan critical machine load FJSP, a discrete improved grey wolf optimization (DIGWO) algorithm proposed. Firstly, combined with random Tent chaotic mapping strategy ...

This study proposes a novel modified grey-wolf optimization algorithm (MGWOA) to enhance power system stability. The stabilizer and static synchronous series compensator (SSSC) are used as damping controllers. Additionally, fractional-order PID (FOPID) controller is handle the nonlinearities thus achieve better performance. control parameters tuned using proposed MGWOA method which has been ver...