Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

A permutation flow-shop scheduling problem (PFSP) has been studied for a long time due to
its significance in real-life applications. This work proposes an improved artificial bee colony …

Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel
production systems. This paper considers a width deviation prediction problem and …

Feature selection (FS) has received significant attention since the use of a well-selected
subset of features may achieve better classification performance than that of full features in …

The progress of science and technology speeds up the replacement of products and
produces a large number of end-of-life products. Traditional incineration causes a waste of …

As environmental problems are increasingly challenging and sustainable development win
support among the people, the energy-efficient hybrid flow-shop scheduling problem …

This paper deals with an overview of flowshop group scheduling problems in the
manufacturing environment. The aim of this paper is twofold:(i) making a comprehensive …

Product disassembly is critically important in recycling end-of-life products, reducing their
negative impact on environmental pollution and minimizing resource waste. Disassembly …

A coloring traveling salesman problem (CTSP) generalizes the well-known multiple traveling
salesman problem, where colors are used to differentiate salesmen's the accessibility to …

This paper studies the distributed permutation flowshop group scheduling problem
(DPFGSP) with the consideration of minimizing total flowtime (TF), which has important …