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Advanced Computational Models for Decision-Making of Complex Systems in Engineering

Submission Deadline: 31 July 2023 (closed) View: 1

Guest Editors

Prof. Željko Stević, University of East Sarajevo, Bosnia and Herzegovina
Prof. E.K. Zavadskas, Vilnius Gediminas Technical University, Lithuania
Prof. Vladimir Simić, University of Belgrade, Serbia

Summary

The need for advanced computational models has manifested in the fact that a large number of complex nature and society systems include many conflict parameters. To make a balance among them, it is recommended to develop and apply such advanced computational models that can balance conflicting aims where there are many variant solutions available to decision-makers. Developing advanced computational models represents a significant challenge in uncertain environments, especially when available resources, time, and funds are limited. Advanced computational models have everyday applications for decision-making about the problems of complex systems in engineering. Complex systems in engineering seek the application of scientific principles for practical objectives such as the processes, manufacture, design, operation of products, costs rationalization, performance measurement, and improving service quality while accounting for constraints involving uncertainty parameters. Managers from various engineering fields are required to make right decisions. Consequently, managers need the support of these advanced computational models to engage in effective decision-making.

This special issue aims to collect papers that develop or apply advanced computational models: optimization, machine learning, simulation, probability and statistics, decision theory, systems dynamics, and multi-criteria decision-making in the field of engineering.

 

The list of potential topics includes, but are not limited to:

• Applications of advanced computational models as support in creating innovation in engineering

• Integration of novel advanced computational models in engineering

• Hybrid decision analysis for complex systems in engineering

• Innovative applications of advanced computational models

• Operations research tools for decision-making in engineering

• Mathematical programming in engineering

• Multi-criteria decision-making in engineering

• Sustainable decision-making under uncertainty

• Advanced computational models for risk analysis

• Advanced computational models for solving complex logistics systems

• Advanced computational models for solving complex routing and/or scheduling systems

• Advanced computational models for the efficiency analysis and/or performance measurement 


Keywords

Engineering; complex systems; optimization models; decision theory; machine learning; uncertainty

Published Papers


  • Open Access

    ARTICLE

    An Innovative Deep Architecture for Flight Safety Risk Assessment Based on Time Series Data

    Hong Sun, Fangquan Yang, Peiwen Zhang, Yang Jiao, Yunxiang Zhao
    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2549-2569, 2024, DOI:10.32604/cmes.2023.030131
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract With the development of the integration of aviation safety and artificial intelligence, research on the combination of risk assessment and artificial intelligence is particularly important in the field of risk management, but searching for an efficient and accurate risk assessment algorithm has become a challenge for the civil aviation industry. Therefore, an improved risk assessment algorithm (PS-AE-LSTM) based on long short-term memory network (LSTM) with autoencoder (AE) is proposed for the various supervised deep learning algorithms in flight safety that cannot adequately address the problem of the quality on risk level labels. Firstly, based on… More >

  • Open Access

    ARTICLE

    Computational Analysis of Novel Extended Lindley Progressively Censored Data

    Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat
    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2571-2596, 2024, DOI:10.32604/cmes.2023.030582
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract A novel extended Lindley lifetime model that exhibits unimodal or decreasing density shapes as well as increasing, bathtub or unimodal-then-bathtub failure rates, named the Marshall-Olkin-Lindley (MOL) model is studied. In this research, using a progressive Type-II censored, various inferences of the MOL model parameters of life are introduced. Utilizing the maximum likelihood method as a classical approach, the estimators of the model parameters and various reliability measures are investigated. Against both symmetric and asymmetric loss functions, the Bayesian estimates are obtained using the Markov Chain Monte Carlo (MCMC) technique with the assumption of independent gamma… More >

  • Open Access

    ARTICLE

    An Adaptive Hybrid Optimization Strategy for Resource Allocation in Network Function Virtualization

    Chumei Wen, Delu Zeng
    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1617-1636, 2024, DOI:10.32604/cmes.2023.029864
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract With the rapid development of Network Function Virtualization (NFV), the problem of low resource utilization in traditional data centers is gradually being addressed. However, existing research does not optimize both local and global allocation of resources in data centers. Hence, we propose an adaptive hybrid optimization strategy that combines dynamic programming and neural networks to improve resource utilization and service quality in data centers. Our approach encompasses a service function chain simulation generator, a parallel architecture service system, a dynamic programming strategy for maximizing the utilization of local server resources, a neural network for predicting More >

  • Open Access

    ARTICLE

    Improved STN Models and Heuristic Rules for Cooperative Scheduling in Automated Container Terminals

    Hongyan Xia, Jin Zhu
    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1637-1661, 2024, DOI:10.32604/cmes.2023.029576
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract Improving the cooperative scheduling efficiency of equipment is the key for automated container terminals to cope with the development trend of large-scale ships. In order to improve the solution efficiency of the existing space-time network (STN) model for the cooperative scheduling problem of yard cranes (YCs) and automated guided vehicles (AGVs) and extend its application scenarios, two improved STN models are proposed. The flow balance constraints in the original model are decomposed, and the trajectory constraints of YCs and AGVs are added to acquire the model STN_A. The coupling constraint in STN_A is updated, and… More >

  • Open Access

    ARTICLE

    Case Retrieval Strategy of Turning Process Based on Grey Relational Analysis

    Jianfeng Zhao, Yunliang Huo, Ji Xiong, Junbo Liu, Zhixing Guo, Qingxian Li
    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1663-1678, 2024, DOI:10.32604/cmes.2023.030584
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract To solve the problem of long response time when users obtain suitable cutting parameters through the Internet based platform, a case-based reasoning framework is proposed. Specifically, a Hamming distance and Euclidean distance combined method is designed to measure the similarity of case features which have both numeric and category properties. In addition, AHP (Analytic Hierarchy Process) and entropy weight method are integrated to provide features weight, where both user preferences and comprehensive impact of the index have been concerned. Grey relation analysis is used to obtain the similarity of a new problem and alternative cases.… More >

  • Open Access

    ARTICLE

    A Stable Fuzzy-Based Computational Model and Control for Inductions Motors

    Yongqiu Liu, Shaohui Zhong, Nasreen Kausar, Chunwei Zhang, Ardashir Mohammadzadeh, Dragan Pamucar
    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 793-812, 2024, DOI:10.32604/cmes.2023.028175
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract In this paper, a stable and adaptive sliding mode control (SMC) method for induction motors is introduced. Determining the parameters of this system has been one of the existing challenges. To solve this challenge, a new self-tuning type-2 fuzzy neural network calculates and updates the control system parameters with a fast mechanism. According to the dynamic changes of the system, in addition to the parameters of the SMC, the parameters of the type-2 fuzzy neural network are also updated online. The conditions for guaranteeing the convergence and stability of the control system are provided. In More >

  • Open Access

    ARTICLE

    Calculation of Mass Concrete Temperature Containing Cooling Water Pipe Based on Substructure and Iteration Algorithm

    Heng Zhang, Chao Su, Zhizhong Song, Zhenzhong Shen, Huiguang Lei
    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 813-826, 2024, DOI:10.32604/cmes.2023.030055
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract Mathematical physics equations are often utilized to describe physical phenomena in various fields of science and engineering. One such equation is the Fourier equation, which is a commonly used and effective method for evaluating the effectiveness of temperature control measures for mass concrete. One important measure for temperature control in mass concrete is the use of cooling water pipes. However, the mismatch of grids between large-scale concrete models and small-scale cooling pipe models can result in a significant waste of calculation time when using the finite element method. Moreover, the temperature of the water in… More >

  • Open Access

    ARTICLE

    Pythagorean Fuzzy Einstein Aggregation Operators with Z-Numbers: Application in Complex Decision Aid Systems

    Shahzad Noor Abbasi, Shahzaib Ashraf, M. Shazib Hameed, Sayed M. Eldin
    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2795-2844, 2023, DOI:10.32604/cmes.2023.028963
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract The primary goal of this research is to determine the optimal agricultural field selection that would most effectively support manufacturing producers in manufacturing production while accounting for unpredictability and reliability in their decision-making. The PFS is known to address the levels of participation and non-participation. To begin, we introduce the novel concept of a PFZN, which is a hybrid structure of Pythagorean fuzzy sets and the ZN. The PFZN is graded in terms of membership and non-membership, as well as reliability, which provides a strong advice in real-world decision support concerns. The PFZN is a… More >

  • Open Access

    ARTICLE

    Modelling Dry Port Systems in the Framework of Inland Waterway Container Terminals

    Milovan Kovač, Snežana Tadić, Mladen Krstić, Violeta Roso
    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 1019-1046, 2023, DOI:10.32604/cmes.2023.027909
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract Overcoming the global sustainability challenges of logistics requires applying solutions that minimize the negative effects of logistics activities. The most efficient way of doing so is through intermodal transportation (IT). Current IT systems rely mostly on road, rail, and sea transport, not inland waterway transport. Developing dry port (DP) terminals has been proven as a sustainable means of promoting and utilizing IT in the hinterland of seaport container terminals. Conventional DP systems consolidate container flows from/to seaports and integrate road and rail transportation modes in the hinterland which improves the sustainability of the whole logistics… More >

  • Open Access

    ARTICLE

    Temperature Field in Laser Line Scanning Thermography: Analytical Calculation and Experiment

    Yin Li, Yuanjia Song, Zhengwei Yang, Haijun Jiang, Bowen Liu
    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 1001-1018, 2023, DOI:10.32604/cmes.2023.027072
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract The temperature field in laser line scanning thermography is investigated comprehensively in this work, including analytical calculation and experiment. Firstly, the principle of laser line scanning thermography is analyzed. On this basis, a physical laser line scanning model is proposed. Afterwards, based on Fourier transform (FT) and segregation variable method (SVM), the heat conduction differential equation in laser line scanning thermography is derived in detail. The temperature field of the composite-based coatings model with defects is simulated numerically. The results show that the laser line scanning thermography can effectively detect the defects in the model. More >

    Graphic Abstract

    Temperature Field in Laser Line Scanning Thermography: Analytical Calculation and Experiment

  • Open Access

    ARTICLE

    Interpolation Technique for the Underwater DEM Generated by an Unmanned Surface Vessel

    Shiwei Qin, Zili Dai
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 3157-3172, 2023, DOI:10.32604/cmes.2023.026874
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract High-resolution underwater digital elevation models (DEMs) are important for water and soil conservation, hydrological analysis, and river channel dredging. In this work, the underwater topography of the Panjing River in Shanghai, China, was measured by an unmanned surface vessel. Five different interpolation methods were used to generate the underwater DEM and their precision and applicability for different underwater landforms were analyzed through cross-validation. The results showed that there was a positive correlation between the interpolation error and the terrain surface roughness. The five interpolation methods were all appropriate for the survey area, but their accuracy More >

  • Open Access

    ARTICLE

    Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project

    Salma Khan, Muhammad Gulistan, Nasreen Kausar, Dragan Pamucar, Tzung-Pei Hong, Hafiz Abdul Wahab
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 3141-3156, 2023, DOI:10.32604/cmes.2023.026169
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract In this paper, a decision-making problem with a q-rung orthopair fuzzy hypersoft environment is developed, and two operators of ordered weighted average and induced ordered weighted average are developed. Several fundamental features are also derived. The induced ordered weighted average operator is essential in a q-ROFH environment as the induced ordered aggregation operators are special cases of the existing aggregation operators that already exist in q-ROFH environments. The main function of these operators is to help decision-makers gain a complete understanding of uncertain facts. The proposed aggregation operator is applied to a decision-making problem, with More >

    Graphic Abstract

    Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project

  • Open Access

    ARTICLE

    Effect of Particle Orientation on Heat Transfer in Arrays of Prolate Particles

    Romana Basit, Xinyang Li, Zheqing Huang, Qiang Zhou
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1509-1526, 2023, DOI:10.32604/cmes.2023.025308
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract Direct Numerical Simulations have been carried out to study the forced convection heat transfer of flow through fixed prolate particles for a variety of aspect ratios ar = {5/4, 5/3, 5/1} with Reynolds number (Re) up to 100. Three variations of the solid volume fraction c = {0.1, 0.2, 0.3} with four Hermans orientation factors S = {−0.5, 0, 0.5, 1} are studied. It has been found that changes in S cause prominent variations in the Nusselt number. In general, Nusselt number increases with the decrease of S. For all three aspect ratios, the Nusselt number remains More >

    Graphic Abstract

    Effect of Particle Orientation on Heat Transfer in Arrays of Prolate Particles

  • Open Access

    ARTICLE

    Improvement of Binocular Reconstruction Algorithm for Measuring 3D Pavement Texture Using a Single Laser Line Scanning Constraint

    Yuanyuan Wang, Rui Wang, Xiaofeng Ren, Junan Lei
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1951-1972, 2023, DOI:10.32604/cmes.2023.026112
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract The dense and accurate measurement of 3D texture is helpful in evaluating the pavement function. To form dense mandatory constraints and improve matching accuracy, the traditional binocular reconstruction technology was improved threefold. First, a single moving laser line was introduced to carry out global scanning constraints on the target, which would well overcome the difficulty of installing and recognizing excessive laser lines. Second, four kinds of improved algorithms, namely, disparity replacement, superposition synthesis, subregion segmentation, and subregion segmentation centroid enhancement, were established based on different constraint mechanism. Last, the improved binocular reconstruction test device was More >

  • Open Access

    ARTICLE

    Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

    Yingxue Sang, Fengxia Han, Qing Liu, Liang Qiao, Shouxi Wang
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1973-1998, 2023, DOI:10.32604/cmes.2023.026218
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract Rapid urbanization has led to a surge in the number of towering structures, and overturning is widely used because it can better accommodate the construction of shaped structures such as variable sections. The complexity of the construction process makes the construction risk have certain randomness, so this paper proposes a cloud-based coupled matter-element model to address the ambiguity and randomness in the safety risk assessment of overturning construction of towering structures. In the pretended model, the digital eigenvalues of the cloud model are used to replace the eigenvalues in the matter–element basic element, and calculate… More >

  • Open Access

    ARTICLE

    Assessing Criteria Weights by the Symmetry Point of Criterion (Novel SPC Method)–Application in the Efficiency Evaluation of the Mineral Deposit Multi-Criteria Partitioning Algorithm

    Zoran Gligorić, Miloš Gligorić, Igor Miljanović, Suzana Lutovac, Aleksandar Milutinović
    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 955-979, 2023, DOI:10.32604/cmes.2023.025021
    (This article belongs to the Special Issue: Advanced Computational Models for Decision-Making of Complex Systems in Engineering)
    Abstract Information about the relative importance of each criterion or the weights of criteria can have a significant influence on the ultimate rank of alternatives. Accordingly, assessing the weights of criteria is a very important task in solving multi-criteria decision-making problems. Three methods are commonly used for assessing the weights of criteria: objective, subjective, and integrated methods. In this study, an objective approach is proposed to assess the weights of criteria, called SPC method (Symmetry Point of Criterion). This point enriches the criterion so that it is balanced and easy to implement in the process of… More >

    Graphic Abstract

    Assessing Criteria Weights by the Symmetry Point of Criterion (Novel SPC Method)–Application in the Efficiency Evaluation of the Mineral Deposit Multi-Criteria Partitioning Algorithm

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