Switched reluctance machines (SRMs) have recently attracted more interest in many
applications due to the volatile prices of rare-earth permanent magnets (PMs) used in …

In this paper, an improved genetic algorithm is designed to solve the above multiobjective
optimization problem for the scheduling problem of college English courses. Firstly, a …

Path planning is not only the premise of underwater navigation and obstacle avoidance, but
also the core and key to improve the operation durability for the bionic robotic fish. In this …

The paper proposes an approach to the design of the chemical composition of steel, which
is based on neural networks and genetic algorithms and aims at achieving a desired …

The tool-workpiece vibration in the precision milling process plays a pivotal role in
influencing the surface quality. To solve the machining problem coming with the process …

Flow-production systems whose pieces are connected in a row may not have maintenance
scheduling procedures fixed because problems occur at different times (electricity plants …

As a scientific publishing house, Indonesian Institute of Sciences (LIPI) Press' encountered
some problems in publication planning, mainly predicting the optimum production of …

Power consumption and cement specific surface area (SSA) are two essential production
indexes in the cement grinding process. It is of great significance to reduce power …

Rule generation in complex data analysis tasks poses challenges in terms of accuracy and
interpretability. This research proposes a novel approach called Quantum-Inspired Fuzzy …

Entry temperature estimation is a major concern for finishing mill set-up in hot strip mills.
Variations in the incoming bar conditions, frequent product changes and measurement …