Explanipedia

A Dynamic Multi-Objective Optimization Algorithm for AGV Routing in Assembly Workshops Open

Yong Chen, Yuqi Sun, Mingyu Chen, Wenchao Yi, Zhi Pei , et al. · 2025

This study tackles the complex challenge of dynamic multi-objective vehicle routing optimization in large-scale equipment manufacturing, where routing operations significantly impact both economic performance and environmental sustainabili…

Empowering NP-Hard Problem Solving in Symmetric Cipher Attacks through the Global Optimization Capability of the Quantum Tunneling Effect Open

Zhi Pei, C. K. Hong, Chao Wang · 2025

WSF: A Transformer-Based Framework for Microphenotyping and Genetic Analyzing of Wheat Stomatal Traits Open

Hong-Hao Zhou, Haijiang Min, Shiqi Liang, Bingxi Qin, Qi Sun , et al. · 2025

Stomata on the leaves of wheat serve as important gateways for gas exchange with the external environment. Their morphological characteristics, such as size and density, are closely related to physiological processes like photosynthesis an…

Solving Collaborative Scheduling of Production and Logistics via Deep Reinforcement Learning: Considering Limited Transportation Resources and Charging Constraints Open

Xianping Huang, Yong Chen, Wenchao Yi, Zhi Pei, Ziwen Cheng · 2025

With the advancement of logistics technology, Automated Guided Vehicles (AGVs) have been widely adopted in manufacturing enterprises due to their high flexibility and stability, particularly in flexible and discrete manufacturing domains s…

An Innovative Algorithm for Attacking Symmetric Ciphers Using D-Wave Quantum Annealing Open

Zhi Pei, C. K. Hong, Fen Xia, Chao Wang · 2025

A Low-Carbon Scheduling Method for Container Intermodal Transport Using an Improved Grey Wolf–Harris Hawks Hybrid Algorithm Open

Meixian Jiang, Shuying Lv, Yuqiu Zhang, Fan Wu, Zhi Pei , et al. · 2025

Container intermodal scheduling is critical for advancing low-carbon logistics within inland port systems. However, the scheduling process faces several challenges, including the complexity of coordinating transport modes and complying wit…

Navigating crossroads: Change, trust, and transformation in communication Open

Yi-Hui Christine Huang, Hong Yu, Zhao Alexandre Huang, Jian Lin, Fuchun Lin , et al. · 2025

An SAC-AMBER Algorithm for Flexible Job Shop Scheduling with Material Kit Open

Bo Li, Xiaoying Yang, Zhi Pei, Xin Yang, Yaqi Wu · 2025

A Novel DQN‐Based Hybrid Algorithm for Integrated Scheduling and Machine Maintenance in Dynamic Flexible Job Shops Open

Nanxing Chen, Yong Chen, Wenchao Yi, Zhi Pei · 2025

This paper focuses on the dynamic flexible job shop scheduling problem with constrained maintenance resources (DFJSP‐CMR), a pressing challenge in modern manufacturing systems. As traditional rigid scheduling models fall short in meeting t…

Multi-Agent Reinforcement Learning for Distributed Flexible Job Shop Scheduling With Random Job Arrival Open

Yuhang Yan, Wenchao Yi, Zhi Pei, Yong Chen · 2025

Distributed flexible job shops are increasingly becoming the predominant production method in manufacturing due to their advantages in low-cost production and high customization. In practical production environments, jobs arrive randomly b…

A First Successful Factorization of RSA-2048 Integer by D-Wave Quantum Computer Open

Chao Wang, Jingjing Yu, Zhi Pei, Qiang Wang, C. K. Hong · 2024

Collaborative Scheduling Optimization of Container Port Berths and Cranes under Low-Carbon Environment Open

Meixian Jiang, Fangzheng Ma, Yuqiu Zhang, Shuying Lv, Zhi Pei , et al. · 2024

Motivated by the need for a green and low-carbon economy, we explore the co-scheduling optimization of berths and cranes. Our aim is to balance the carbon tax and operating costs of ports under uncertain conditions, proposing an innovative…

Development of a Time Series E-Commerce Sales Prediction Method for Short-Shelf-Life Products Using GRU-LightGBM Open

Yong Chen, Xian Xie, Zhi Pei, Wenchao Yi, Cheng Wang , et al. · 2024

Effective sales prediction for e-commerce would assist retailers in developing accurate production and inventory control plans, which would further help them to reduce inventory costs and overdue losses. This paper develops a systematic me…

Multi-Agent Reinforcement Learning for Distributed Flexible Job Shop Scheduling with Random Job Arrival Open

Yuhang Yan, Wenchao Yi, Zhi Pei, Yu Chen · 2024

Emergency Response Scheme Selection with Interval-Valued Probabilistic Hesitant Fuzzy Bwdg-Electre-Score Approach Open

Xue‐Feng Ding, Zhi Pei · 2024

Deciphering a Million-Plus RSA Integer with Ultralow Local Field Coefficient h and Coupling Coefficient J of the Ising Model by D-Wave 2000Q Open

Chao Wang, Qiaoyun Hu, Haonan Yao, Sumin Wang, Zhi Pei · 2023

This work is the first to determine that a real quantum computer (including generalized and specialized) can decipher million-scale RSA relying solely on quantum algorithms, showing the real attack potential of D-Wave machines. The influen…

Multi-Location Assortment Optimization with Drone and Human Courier Joint Delivery Open

Mengting Wu, Zhi Pei · 2023

This paper studies the constrained multi-location assortment optimization problem under joint delivery by drone and human courier. To maximize the revenue of the retailer, product assortment and last-mile delivery methods are configured si…

A Branch-and-Price Algorithm for the Online Scheduling of Valet Drivers Open

Lei Zhang, Zhi Pei · 2023

In the present paper, the online valet driving problem (OVDP) is studied. In this problem, customers request a valet driving service through the platform, then the valets arrive on e-bikes at the designated pickup location and drive the ve…

Two-Stage Robust Liner Container Booking with Uncertain Customer Demand Open

Hanghang Zhu, Zhi Pei · 2023

Since third-party logistics (3PL) offers discounted prices for booking containers in advance, the container booking decisions are preferably made prior to the realization of customer demand by the companies with international trade busines…

An Enhanced Adaptive Differential Evolution Approach for Constrained Optimization Problems Open

Wenchao Yi, Zhilei Lin, Yong Chen, Zhi Pei, Jiansha Lu · 2023

Effective constrained optimization algorithms have been proposed for engineering problems recently. It is common to consider constraint violation and optimization algorithm as two separate parts. In this study, a pbest selection mechanism …

Energy-Saving Manufacturing System Design with Two Geometric Machines Open

Peiqi Yang, Zhi Pei · 2022

In recent years, due to increasing energy costs and deteriorating environmental conditions, manufacturing enterprises have become more concerned with energy efficiency. This paper is dedicated to minimizing energy consumption while maintai…

Bibliometric Method for Manufacturing Servitization: A Review and Future Research Directions Open

Yong Chen, Zhengjie Wu, Wenchao Yi, Bingjia Wang, Jianhua Yao , et al. · 2022

To gain sustainable development, it is a trend that manufacturing companies are change the value chain from manufacturing-centric to service-centric. Therefore, the capability of the manufacturing service is as significant as the productio…

Shaping the Future of the Application of Quantum Computing in Intelligent Transportation System Open

Sumin Wang, Zhi Pei, Chao Wang, Jie Wu · 2021

The intelligent transportation system (ITS) integrates a variety of advanced science and technology to support and monitor road traffic systems and accelerate the urbanization process of various countries. This paper analyzes the shortcomi…

Twenty‐year retrospection on green manufacturing: A bibliometric perspective Open

Zhi Pei, Tianzong Yu, Wenchao Yi, Yingde Li · 2021

In the modern age of Industry 4.0 and manufacturing servitisation, energy saving and environment consciousness are regarded as vital themes in manufacturing processes to reduce carbon tax and achieve sustainable development. For the past 2…

Contents Open

Xinyu Li, Xiuli Wu, Peng Junjian, Zirun Xie, Zhao Ning , et al. · 2021

An improved multi-objective optimization algorithm for solving flexible job shop scheduling problem with variable batches

Machine learning‐based scheduling: a bibliometric perspective Open

Shiyun Li, Tianzong Yu, Xu Cao, Zhi Pei, Wenchao Yi , et al. · 2021

In recent years, the rapid development of artificial intelligence and data science has given rise to the study of data driven algorithms in highly volatile systems. The scheduling of complex shop floor resources falls into such a category,…

Academic Insights and Perspectives: Cellular Automata and Production Scheduling Open

Yong Chen, Feiyang Yu, Ziwen Cheng, Qiuxia Jin, Zhi Pei , et al. · 2020

The cellular automata algorithm is one of the most important developments recently and is becoming an area of great potential in scheduling problems. There has been an increase in the quality and quantity of publications related to this to…

Entropy‐based dispatching: academic insights and perspectives through bibliometric analysis Open

Shiyun Li, Sheng Zhong, Rui Du, Zhi Pei, Yong Chen , et al. · 2020

Entropy‐based dispatching has attracted more and more attention from professional scholars and engineers. The quantity and quality of publications related to this topic are increasing rapidly. To accurately measure this growth, we use bibl…

Integrated Design of Unmanned Aerial Mobility Network: A Data-Driven Risk-Averse Approach Open

Wenjuan Hou, Tao Fang, Zhi Pei, Qiao‐Chu He · 2020

The real challenge in drone-logistics is to develop an economically-feasible Unmanned Aerial Mobility Network (UAMN). In this paper, we propose an integrated airport location (strategic decision) and routes planning (operational decision) …

Data-driven layout design of regional battery swapping stations for electric bicycles Open

Hanghang Zhu, Zhi Pei · 2020

This paper studies the layout of battery swapping stations for electric bicycles in a community. The problem is first formulated as a nonlinear mathematic programming model. A simulated annealing based algorithm is applied to solve this pr…

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