Article
Engineering, Environmental
Yanfang Ma, Wen Zhang, Cuiying Feng, Benjamin Lev, Zongmin Li
Summary: This paper developed a bi-level multi-objective location routing model for municipal waste management, considering the interests of both the government and the sanitation companies. An improved hybrid NSGA-II was used to solve the model, showing strong competitiveness and better performance in some instances.
Review
Operations Research & Management Science
M. Tadaros, A. Migdalas
Summary: This paper reviews 80 journal articles published between 2014 and 2020 on bi- and multi-objective location-routing problems. The articles are classified and discussed based on various factors, and the paper concludes with remarks and suggestions for future research.
OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhineng Hu, Li Wang, Jindong Qin, Benjamin Lev, Lu Gan
Summary: In this paper, a bi-level multi-objective programming and a multi-objective particle swarm optimization algorithm are developed to solve the facility location and size problem of general service infrastructure. Feasible optimization schemes are provided based on the decision-maker's preferences.
COMPUTERS & OPERATIONS RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Yunjia Ma, Baoyin Liu, Kaiwen Zhang, Yumeng Yang
Summary: This article develops a multi-criteria multi-objective multi-scenario supplemental location-allocation optimization model for earthquake emergency shelters, addressing the concerns related to optimization comparison between the current planning scenario and the supplementary new candidate shelter scenario.
GEOMATICS NATURAL HAZARDS & RISK
(2022)
Article
Computer Science, Artificial Intelligence
Ke-Jing Du, Jian-Yu Li, Hua Wang, Jun Zhang
Summary: Evolutionary multi-objective multi-task optimization is an emerging paradigm for solving multi-objective multi-task optimization problems using evolutionary computation. This paper proposes treating these problems as multi-objective multi-criteria optimization problems and develops an algorithm framework that utilizes the knowledge of all tasks in the same population. The algorithm selects fitness evaluation functions as criteria, guided by a probability-based selection strategy and an adaptive parameter learning method. Extensive experiments show the effectiveness and efficiency of the proposed algorithm. Treating MO-MTOP as MO-MCOP is a potential and promising direction for solving these problems.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Operations Research & Management Science
Mumtaz Karatas, Ertan Yakici, Abdullah Dasci
Summary: This paper introduces a bi-objective location-allocation problem for UASs in a hostile environment, utilizing mixed integer nonlinear programming for modeling and the elitist non-dominated sorting genetic algorithm for solving large-scale problems. By linearization and hybrid approach, the effectiveness of the solutions has been improved.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Operations Research & Management Science
Mamta Mishra, Surya Prakash Singh, Manmohan Prasad Gupta
Summary: The location planning of relief distribution centres is crucial in humanitarian logistics. This study proposes a two-stage problem to minimize the total cost by determining the minimum number of relief DCs and finding their optimal locations. A novel two-phase algorithm is developed to solve this complex problem and is shown to be more efficient and effective compared to other well-known algorithms.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Lixin Cheng, Qiuhua Tang, Liping Zhang, Zikai Zhang
Summary: This study addresses the scheduling problem in mixed shop production systems and proposes an optimization method using speed-scaling policy and no-idle time strategy. By formulating a mathematical model and developing a Q-learning algorithm, simultaneous optimization of production efficiency and energy consumption is achieved.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Economics
Saeed Khanchehzarrin, Mona Ghaebi Panah, Nezam Mahdavi-Amiri, Saber Shiripour
Summary: In recent years, the frequency and severity of natural disasters worldwide have increased, causing significant financial and human losses. Decision-makers are therefore seeking ways to provide relief and reduce these losses. This study proposes a multi-objective bi-level model for the disaster location-routing problem, which considers multiple suppliers and supply risk. The findings highlight the importance of public donations in providing low-risk, high-priority goods to improve relief efforts.
SOCIO-ECONOMIC PLANNING SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Jin Qi, Jie Hu, Yinghong Peng
Summary: The study proposes a new DCE method, R-VIKOR(I), in an attempt to better balance objective design and subjective preference factors in the evaluation process. By introducing new integrated ideal solution definition approach, the method aims to provide a more reasonable evaluation result, especially in cases where evaluators have different preferences for design attribute values. The performance of R-VIKOR(I) is validated through three comparative experiments, demonstrating its advantage in modern personalized product development.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Information Systems
Elizabeth Montero, Orietta Nicolis, Samantha Reid, Marcelo Torres
Summary: This research addresses the problem of banking facility location by proposing a multi-objective linear programming model. The results show that the structure of solutions changes as the coverage of branches increases. The proposed model can quickly obtain feasible solutions according to needs and resources, allowing for analysis under similar conditions.
Article
Computer Science, Artificial Intelligence
Yi Wang, Liangbo Wang, Yu Zhou
Summary: This paper presents an occluded person re-identification approach by constructing a bi-level deep mutual learning assisted multi-task network. The network treats holistic and occluded person ReID tasks as related but not identical tasks and employs a multi-task network with two branches. A mutual learning strategy is proposed and applied on both branches to extract more effective information for better identity recognition. Extensive experiments demonstrate the advantages of this approach for person ReID.
IET IMAGE PROCESSING
(2023)
Article
Operations Research & Management Science
Rahimeh Neamatian Monemi, Shahin Gelareh, Anass Nagih, Dylan Jones
Summary: This paper addresses the unbalanced spatial distribution of hub-level flows in an optimal hub-and-spoke network structure, proposing a bi-objective mixed integer non-linear programming formulation and handling the model through a compromise programming framework.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Engineering, Industrial
Amir Hossein Barahimi, Alireza Eydi, Abdolah Aghaie
Summary: The research addresses the issue of increasing the link capacity in a dual-mode public transport network within urban infrastructure. By developing a mathematical model and using the PSO algorithm to solve the multi-objective bi-level model, the study was applied to a part of the urban transportation network in Tehran, Iran.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Artificial Intelligence
Weiwei Sun, Hu Shao, Liang Shen, Ting Wu, William H. K. Lam, Baozhen Yao, Bin Yu
Summary: This paper introduces a bi-objective optimization model for the traffic count location problem, aiming to minimize the maximum possible absolute error of the mean and the covariance of the estimated OD demand. A surrogate-assisted genetic algorithm is employed to solve this model, and numerical examples are provided to demonstrate the applicability of the model and the efficiency of the algorithm.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Operations Research & Management Science
Nasrin Asgari, Mohsen Rajabi, Masoumeh Jamshidi, Maryam Khatami, Reza Zanjirani Farahani
ANNALS OF OPERATIONS RESEARCH
(2017)
Article
Management
W. Y. Szeto, R. Z. Farahani, Agachai Sumalee
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2017)
Review
Management
Reza Zanjirani Farahani, Samira Fallah, Ruben Ruiz, Sara Hosseini, Nasrin Asgari
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2019)
Article
Operations Research & Management Science
Xiang Song, Dylan Jones, Nasrin Asgari, Tim Pigden
ANNALS OF OPERATIONS RESEARCH
(2020)
Article
Economics
Ahmad Jafarian, Nasrin Asgari, Seyed Sina Mohri, Elham Fatemi-Sadr, Reza Zanjirani Farahani
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2019)
Article
Economics
Mehdi Amiri-Aref, Reza Zanjirani Farahani, Mike Hewitt, Walid Klibi
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2019)
Review
Management
Reza Zanjirani Farahani, M. M. Lotfi, Atefe Baghaian, Ruben Ruiz, Shabnam Rezapour
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2020)
Article
Engineering, Manufacturing
Sushil Gupta, Martin K. Starr, Reza Zanjirani Farahani, Mahsa Mahboob Ghodsi
PRODUCTION AND OPERATIONS MANAGEMENT
(2020)
Article
Economics
Seyed Sina Mohri, Nasrin Asgari, Reza Zanjirani Farahani, Michael Bourlakis, Benjamin Laker
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Management
Shabnam Rezapour, Reza Zanjirani Farahani, Nazanin Morshedlou
Summary: This research examines the impact of timing of post-warning and pre-disaster stock prepositioning decisions on disasters with advance warning, such as hurricanes. It develops a stochastic optimization model to determine the best trigger time for preparedness activities and response operations, finding that delaying trigger time can result in nonlinear reduction in total logistics cost and nonlinear increase in minimum response time.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Management
Sushil Gupta, Martin K. Starr, Reza Zanjirani Farahani, Nasrin Asgari
Summary: This paper reviews research on pandemics/epidemics in major management and operations journals until the end of 2019. They evaluate and categorize these papers, identify research trends and gaps, and provide directions for future research efficiency. They also discuss various aspects of pandemic management, such as warning signals, disease propagation, and resource management.
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Reza Zanjirani Farahani, Nasrin Asgari, Luk N. Van Wassenhove
Summary: Textile waste, heavily impacted by fast fashion, is a major global pollutant. While some fast fashion firms have started collecting preowned items for reuse, import bans on second-hand clothes in developing countries pose challenges. Charities could potentially help fast fashion firms increase their capacity in handling textile waste, but face obstacles in collaboration.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Summary: This study establishes an analytical model for the coupling of temperature, deformation, and residual stress to explore the mechanism of residual stress formation in hot-rolled strip and how to control it. The accuracy of the model is verified by comparing it with a finite element model, and a method to calculate the critical exit crown ratio to maintain strip flatness is proposed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
Summary: This study aimed to extend the finite element method to cope with elastic-plastic problems by introducing the s-version FEM. The s-version FEM, which overlays a set of local mesh with fine element size on the conventional FE mesh, simplifies domain discretisation and provides accurate numerical predictions. Previous applications of the s-version FEM were limited to elastic problems, lacking instructions for stress update in plasticity. This study presents detailed instructions and formulations for addressing plasticity problems with the s-version FEM and analyzes a stress concentration problem with linear/nonlinear material properties.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bo Fan, Zhongmin Wang
Summary: A 3D rotating hyperelastic composite REF model was proposed to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire. Nonlinear dynamic differential equations and modal equations were established to study the effects of internal pressure, tread pressure sharing ratio, belt structure, and rotating angular speed on the vibration characteristics.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
X. W. Chen, Z. Q. Yue, Wendal Victor Yue
Summary: This paper examines the axisymmetric problem of a flat mixed-mode annular crack near and parallel to an arbitrarily graded interface in functionally graded materials (FGMs). The crack is modeled as plane circular dislocation loop and an efficient solution for dislocation in FGMs is used to calculate the stress field at the crack plane. The analytical solutions of the stress intensity factors are obtained and numerical study is conducted to investigate the fracture mechanics of annular crack in FGMs.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xiangyu Sha, Aizhong Lu, Ning Zhang
Summary: This paper investigates the stress and displacement of a layered soil with a fractional-order viscoelastic model under time-varying loads. The correctness of the solutions is validated using numerical methods and comparison with existing literature. The research findings are of significant importance for exploring soil behavior and its engineering applications under time-varying loads.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
Summary: This paper investigates the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change using the Ritz energy method. The results show the significant beneficial effects of FG-GRC laminated coatings and corrugated core on the nonlinear buckling responses of structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
Summary: This paper investigates the effect of localized cracks induced by environmental factors on the dynamic performance and service life of ballastless track in high-speed railways. A mathematical approach for forced vibrations of Mindlin plates with a side crack is derived and implemented into a train-track coupled dynamic system. The accuracy of this approach is verified by comparing with simulation and experimental results, and the dynamic behavior of the side crack under different conditions is analyzed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
James Vidler, Andrei Kotousov, Ching-Tai Ng
Summary: The far-field methodology, developed by J.C. Maxwell, is utilized to estimate the effective third order elastic constants of composite media containing random distribution of spherical particles. The results agree with previous studies and can be applied to homogenization problems in other fields.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
Summary: This study presents novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates and investigates their performance through static and free vibration analyses. The results show that the mass density framework has potential for comparing different porous cores and provides a low weight and high stiffness-to-weight ratio. Primitive plates exhibit superior performance among thick plates.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bence Hauck, Andras Szekrenyes
Summary: This study explores several methods for computing the J-integral in laminated composite plate structures with delamination. It introduces two special types of plate finite elements and a numerical algorithm. The study presents compact formulations for calculating the J-integral and applies matrix multiplication to take advantage of plate transition elements. The models and algorithms are applied to case studies and compared with analytical and previously used finite element solutions.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Summary: This paper proposes an effective mathematical model for bolted flange joints to study their vibration characteristics. By modeling the flange and bolted joints, governing equations are derived. Experimental studies confirm that the model can accurately predict the vibration characteristics of multiple-plate structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Summary: This paper investigates the imbalance problem in rotating machinery and finds that mass imbalance can induce lateral-torsional coupling vibration. By developing a model and conducting detailed analysis, it is discovered that mass imbalance leads to nonlinear time-varying characteristics and there is no steady-state torsional vibration in small unbalanced rotors. Under largely unbalanced conditions, both resonant and unstable behavior can be observed, and increasing lateral damping can suppress instability and reduce lateral amplitude in the resonance region.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)
