Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …

The combined increase of energy demand and environmental pollution on a global scale is
forcing a rethinking, in sustainable terms, of energy supply policies and production models …

As an effective means to reduce enterprise energy consumption, job-shop scheduling has
received extensive attention in the industry. This paper focuses on a real case energy …

To cope with the rapid development of the Internet of Things (IoT) and the increasing
demand for real-time services, mobile edge computing (MEC) has become a promising …

Recombination operator is one of the important components of multiobjective evolutionary
algorithm. Its purpose is to select parent individuals for the reproductive operation to …

Nowadays, energy-efficient scheduling has assumed a key role in ensuring the
sustainability of manufacturing processes. In this context, we focus on the bi-objective …

Due to the energy crisis and environmental downgrade, manufacturing companies face
rising costs. The pressure on manufacturers to reduce costs and increase efficiency is …

Fabric dyeing is the most time-consuming and energy-intensive process in textile production
with some batch processing machines (BPMs) and uncertainty. In this study, a fuzzy energy …

In order to improve the convergence and diversity of multi-objective differential evolutionary
algorithm in solving problems, a fuzzy adaptive sorting variation multi-objective differential …

The rapidly evolving Industrial Internet of Things (IIoT) is driving the transition from
conventional manufacturing to intelligent manufacturing. Intelligent shop scheduling, as one …