随着训练数据的增加以及机器性能的提高, 基于卷积神经网络的目标检测冲破了传统目标检测的
瓶颈, 成为当前目标检测的主流算法. 因此, 研究如何有效地利用卷积神经网络进行目标检测具有 …

Abstract Historically, Operations Research (OR) discipline has mainly been focusing on
economic concerns. Since the early 2000s, human considerations are gaining increasing …

This paper focuses on an identical parallel machine scheduling problem with minimising
total tardiness of jobs. There are two major issues involved in this scheduling problem;(1) …

Due to the outbreak of the COVID-19 pandemic, the manufacturing sector has been
experiencing unprecedented issues, including severe fluctuation in demand, restrictions on …

With the rapid development of network technology, computer viruses have developed at a
fast pace. The threat of computer viruses persists because of the constant demand for …

We address a uniform parallel machine scheduling problem with machine eligibility, job
splitting, sequence-dependent setup times, and limited setup servers, which has been …

This paper models and solves the scheduling problem of cable manufacturing industries that
minimizes the total production cost, including processing, setup, and storing costs. Two …

In this paper, we modify a Multi-Objective Evolutionary Algorithm, known as Nondominated
sorting Genetic Algorithm-II (NSGA-II) for a parallel machine scheduling problem with three …

In this paper, a novel multi-objective multi-skilled resource-constrained project scheduling
problem based on learning effect is presented in which efficiency of the workforce is …

In this paper we focus on an unrelated parallel workgroup scheduling problem where each
workgroup is composed of a number of personnel with similar work skills which has …