Article
Mathematics
Teeradech Laisupannawong, Boonyarit Intiyot, Chawalit Jeenanunta
Summary: This paper discusses the scheduling of the pressing process in PCB manufacturing, presenting a novel MILP optimization model and a heuristic algorithm. Experimental results show that the MILP model can find optimal schedules for small- to medium-sized problems within 2 hours, while the 3P-PCB-PH can find optimal schedules in a shorter computational time.
Article
Computer Science, Artificial Intelligence
Hong-Bo Song, Jian Lin
Summary: The paper introduces a GP-HH algorithm to address the DAPFSP-SDST problem by using genetic programming to generate heuristic sequences and incorporating simulated annealing for local search, achieving effective solutions and improving upon existing benchmarks.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Chemistry, Multidisciplinary
Isabel Orellano, Alexander Thomas, Aaron Herrera, Erik Brauer, Dag Wulsten, Ansgar Petersen, Lutz Kloke, Georg N. Duda
Summary: The research introduces a bioengineering approach that utilizes 3D bioprinting to control the formation of microvascular structures by guiding cellular self-assembly. The constructed vascular networks display regulated distribution, network orientation, vessel length and branching behavior, as well as developed lumens and signs of vascular stabilization. This novel biofabrication approach shows the capability to generate distinctly vascularized constructs with controlled microvascular network formation, which could be significant in the development of vascularized implants or in vitro screening models.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Automation & Control Systems
Fuqing Zhao, Haizhu Bao, Ling Wang, Tianpeng Xu, Ningning Zhu
Summary: This paper investigates the distributed blocking flow-shop scheduling problem with sequence-dependent setup times (SDST/DBFSP) and proposes a discrete heuristic and meta-heuristic approach. The experimental results demonstrate that the proposed method outperforms other algorithms regarding the significance of the SDST/DBFSP.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
Bruno de Athayde Prata, Carlos Diego Rodrigues, Jose Manuel Framinan
Summary: This paper investigates a variant of the customer order scheduling problem with sequence-dependent setup times, presenting two matheuristics and demonstrating their ability to find high-quality solutions within reasonable CPU time. The Fixed Variable List Algorithm (FVLA) emerges as the most efficient method for this problem.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Bruno de Athayde Prata, Carlos Diego Rodrigues, Jose Manuel Framinan
Summary: In this paper, a novel algorithm is proposed to solve the customer order scheduling problem. The algorithm utilizes discrete differential evolution and local search mechanisms, achieving superior results in terms of deviation and success rate.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Kuo-Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, Ren-Siou Syu
Summary: This research extends the distributed assembly permutation flowshop scheduling problem to account for flexible assembly and sequence-independent setup times in a supply chain-like setting. Constructive heuristic and customised metaheuristic algorithms are proposed to solve this emerging scheduling extension, demonstrating higher performance compared to existing algorithms.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
Nattakorn Promwongsa, Amin Ebrahimzadeh, Roch H. Glitho, Noel Crespi
Summary: This paper investigates the joint VNF placement and scheduling problem for latency-sensitive network services (NSs) and proposes an ILP formulation as well as two efficient heuristics to solve the problem. The simulation results show that the proposed algorithms achieve higher profits compared to existing benchmarks.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Chemical
Yuting Xu, Bin Shi
Summary: This study focuses on the unrelated parallel machine scheduling problem and proposes a mathematical model aimed at reducing completion time. An improved lineup competition algorithm is introduced, along with heuristic workpiece allocation rules and variation strategies to enhance search accuracy and rate. The method shows superior effectiveness and stability compared to other approaches, making it competitive in solving the UPMST problem.
Article
Computer Science, Artificial Intelligence
Zi-Qi Zhang, Bin Qian, Rong Hu, Jian-Bo Yang
Summary: This paper proposes a Q-learning-based hyper-heuristic evolutionary algorithm (QLHHEA) to solve the distributed assembly blocking flowshop scheduling problem (DABFSP), and the experimental results and statistical analysis demonstrate its effectiveness and efficiency.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Information Systems
Pallab Banerjee, Sharmistha Roy, Anurag Sinha, Md. Mehedi Hassan, Shrikant Burje, Anupam Agrawal, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai
Summary: This research presents a novel method for job scheduling in cloud computing using the Johnson Sequencing algorithm. The method aims to minimize the makespan by optimizing task execution order on three servers. The results demonstrate significant improvements in reducing makespan and improving resource utilization.
Article
Computer Science, Artificial Intelligence
Yu Du, Junqing Li, Chengdong Li, Peiyong Duan
Summary: In this study, a DQN model is proposed to solve a multiobjective FJSP with crane transportation and setup times. The model optimizes makespan and total energy consumption simultaneously based on weighting approach. The DQN model uses 12 state features and seven actions to describe the scheduling process, and applies a novel structure in the DQN topology. Extensive computational tests and comparisons demonstrate the effectiveness and advantages of the proposed method in solving FJSP-CS.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Management
Masoumeh Ghorbanzadeh, Mohammad Ranjbar
Summary: This paper investigates an energy-aware flow shop scheduling problem with sequence-dependent setup times, group scheduling, and renewable energy constraints. The objective is to minimize the total energy cost based on time-of-use electricity tariffs. Two mixed-integer linear programming models are developed, along with a decomposition-based heuristic algorithm for efficiently solving medium-size instances. Computational experiments show that the heuristic algorithm outperforms the developed models, with the time-interval index model exhibiting superior performance compared to the time-unit index model. Sensitivity analyses and economic performance evaluation are also provided.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Automation & Control Systems
Fuqing Zhao, Bo Zhu, Ling Wang
Summary: This article introduces an estimation of distribution algorithm-based hyper-heuristic to solve the distributed assembly mixed no-idle permutation flowshop scheduling problem. By utilizing simple heuristic rules as low-level operations, the algorithm controls the low-level heuristics sequence in the solution space. The experimental results show that the proposed algorithm is significantly superior to the competitors in solving the problem.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Si-Tung Chung, Wen-Jyi Hwang, Tsung-Ming Tai, Ki-Yong Oh
Summary: This study aims to develop novel automated computer vision algorithms and systems for component replacement inspection in PCBs. The proposed algorithms can identify the locations and sizes of different components using object detection algorithms based on key points. The algorithm offers simplicity in training, high accuracy in defect detection, and reusability and flexibility for online inspection, making it an effective alternative for automated inspection in smart factories.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Rong Qu, Graham Kendall, Nelishia Pillay
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2020)
Article
Computer Science, Interdisciplinary Applications
Omar Shindi, Jeevan Kanesan, Graham Kendall, Anand Ramanathan
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2020)
Article
Computer Science, Artificial Intelligence
Joo Siang Tan, Say Leng Goh, Graham Kendall, Nasser R. Sabar
Summary: Educational timetabling is a challenging administrative task in academic institutions, with problems falling into categories such as exam timetabling, course timetabling, and high school timetabling. While high school timetabling domain is less developed compared to other educational timetabling fields, recent years have seen the emergence of new methodologies with comparative studies and analysis.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Review
Management
Aldy Gunawan, Graham Kendall, Barry McCollum, Hsin-Vonn Seow, Lai Soon Lee
Summary: The Vehicle Routing Problem has been a long-standing research area with many papers and datasets proposed for comparison and analysis over the past 60 years.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiaoping Jiang, Ruibin Bai, Stein W. Wallace, Graham Kendall, Dario Landa-Silva
Summary: The study presents a method for bundling scenarios in stochastic service network design, based on probabilistic membership scores calculation. Through empirical study on the impact of different degrees of overlap and covariance structures on performance, the GMM-based PHH method shows the best performance and nearly equivalent solution quality in a fraction of the run-time compared to other methods.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Editorial Material
Management
Aldy Gunawan, Graham Kendall, Lai Soon Lee, Barry McCollum, Hsin-Vonn Seow
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2021)
Article
Management
Liam J. A. Lenten, Graham Kendall
Summary: This paper is an orthogonal study that focuses on proposing positive rule change ideas in sports, using tools from social scientific literature. It aggregates academic work on this topic and discusses compelling ideas that could be considered and adopted by sports administrators.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Information Science & Library Science
Graham Kendall
Summary: Submitting a spoof article to expose predatory journals did not have much impact, as the journal continued to operate seven years after accepting the spoof paper. Despite some plagiarism being found, the journal published almost 20% more papers following the acceptance of the spoof paper.
PUBLISHING RESEARCH QUARTERLY
(2021)
Article
Information Science & Library Science
Graham Kendall, Simon Linacre
Summary: The study indicates that the problem of predatory publishing is worsening, with a decrease in the number of publishers but an increase in the number of journals being published. The influence of mega-predatory publishers has increased compared to ten years ago. Instead of subjective decision-making, the publishers are classified into four categories based on publicly available data, evaluating their reputation.
PUBLISHING RESEARCH QUARTERLY
(2022)
Review
Information Science & Library Science
Graham Kendall
Summary: Publons currently has 1.7 million researchers on its database, who have registered 10.8 million reviews. The top ten Publons reviewers review at least one paper every 2 days. Three of the top ten reviewers have reviewed at least one paper every day since 2006 (resp. 2010 and 2013). That is, for the past 16 (resp. 12 and 9) years these reviewers have reviewed a paper every single day. We also look at the publication record of the top ten Publons reviewers, concluding that it is strong. Finally, we discuss why these reviewers carry out the number of reviews that they do.
PUBLISHING RESEARCH QUARTERLY
(2022)
Article
Automation & Control Systems
Nasser R. Sabar, Say Leng Goh, Ayad Turky, Graham Kendall
Summary: This article addresses the dynamic vehicle routing problem (DVRP) and proposes an effective population-based approach to incorporate new customers into the schedule while minimizing the cost of serving all customers without violating problem constraints. Experimental results demonstrate that the integrated components significantly improve search performance and produce new best results for several instances.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
Mei Ching Chen, San Nah Sze, Say Leng Goh, Nasser R. Sabar, Graham Kendall
Summary: The University Course Timetabling Problem (UCTTP) is a challenging optimization issue attracting much interest from researchers. Recent studies show that meta-heuristic and hybrid approaches are popular and effective in solving UCTTP, with hyper-heuristic methods also yielding good results. However, top methodologies in scientific literature may not be fully utilized in practical settings.
Article
Information Science & Library Science
Graham Kendall
Summary: Between 2009 and 2012, Jeffrey Beall published four articles analyzing 18 publishers and introduced the term "predatory" in scientific publishing. He developed Beall's List in 2012, which became a valuable resource but faced criticism. Despite Beall's legacy, predatory publishing practices have not been eradicated, and there is a need for clearer guidelines for quality journals.
LEARNED PUBLISHING
(2021)
Article
Computer Science, Artificial Intelligence
Joo Siang Tan, Say Leng Goh, Suaini Sura, Graham Kendall, Nasser R. Sabar
Summary: The paper introduces a PSO-based algorithm hybridized with Hill Climbing for high school timetabling problem, which shows effectiveness in solving small and medium instances. It achieves the lowest mean of constraint violations compared to state-of-the-art methods in some instances.
EVOLUTIONARY INTELLIGENCE
(2021)
Article
Hospitality, Leisure, Sport & Tourism
Graham Kendall, Jimmy H. T. Chan, Matthew C. H. Yeung, Kuok Kei Law
Summary: The study found that hosting film festivals has positive economic value on the number of inbound tourists, with the effect being more significant when festivals were hosted in art countries.
CURRENT ISSUES IN TOURISM
(2021)
