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Location-Allocation of a Biorefinery Based on Linguistic Mixed Integer Nonlinear Mathematical Modeling

IEEE Access 2025年 13卷 83373-83393页

作者： Fan, Lei Karimi, Negar Reza Feylizadeh, Mohammad Khorshidnia, Mohsen Li, Yongzheng Jiangsu University of Science and Technology School of Economics and Management Jiangsu Zhenjiang212100 China Isfahan University of Technology Department of Industrial and Systems Engineering Isfahan*** Iran Islamic Azad University Shiraz Branch Department of Industrial Engineering Shiraz*** Iran Islamic Azad University Najafabad Branch Department of Industrial Engineering Najafabad*** Iran Jiangsu University of Science of Technology School of Naval Architecture and Ocean Engineering Jiangsu Zhenjiang212100 China

Significant research is currently being conducted to explore renewable energy sources, such as biomass fuel, in response to recent fluctuations in fossil fuel prices and environmental concerns. However, utilizing biomass energy poses challenges due to the widespread distribution of feedstock and the need to transport multiple low-energy-density materials to conversion facilities. In this investigation, a Linguistics Mixed Integer Nonlinear programming (LMINLP) approach with Z-number computations was employed to analyze the optimal allocation of locations for a bio-refinery supply chain network. This proposed method significantly impacted the product process, time value for plutocrats, installation investment costs, and transportation network. This research aims to construct an LMINLP model to determine the optimal position of a single installation within a bio-refinery. The primary goal was to make well-informed investment decisions regarding technologies, facilities, capacities, and site selections. A firefly algorithm incorporating a piecewise linearization approach was utilized to solve the model and achieve global optimality. The model’s effectiveness was demonstrated through numerical examples, including those from the ethanol industry. © 2013 IEEE.

关键词： Mixed-integer linear programming

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Tomography of Quantum States From Structured Measurements via Quantum-Aware Transformer

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IEEE Transactions on Cybernetics 2025年第6期55卷 2571-2582页

作者： Ma, Hailan Sun, Zhenhong Dong, Daoyi Chen, Chunlin Rabitz, Herschel University of New South Wales School of Engineering and Technology CanberraACT2600 Australia The Australian National University School of Engineering CanberraACT2601 Australia University of Technology Sydney Australian Artificial Intelligence Institute Faculty of Engineering and Information Technology SydneyNSW2007 Australia Nanjing University School of Management and Engineering Department of Control and Systems Engineering Nanjing210093 China Princeton University Department of Chemistry PrincetonNJ08544 United States

Quantum state tomography (QST) is the process of reconstructing the state of a quantum system (mathematically described as a density matrix) through a series of different measurements, which can be solved by learning a parameterized function to translate experimentally measured statistics into physical density matrices. However, the specific structure of quantum measurements for characterizing a quantum state has been neglected in previous work. In this article, we explore the similarity between highly structured sentences in natural language and intrinsically structured measurements in QST. To fully leverage the intrinsic quantum characteristics involved in QST, we design a quantum-aware transformer (QAT) model to capture the complex relationship between measured frequencies and density matrices. In particular, we query quantum operators in the architecture to facilitate informative representations of quantum data and integrate the Bures distance into the loss function to evaluate quantum state fidelity, thereby enabling the reconstruction of quantum states from measured data with high fidelity. Extensive simulations and experiments (on IBM quantum computers) demonstrate the superiority of the QAT in reconstructing quantum states with favorable robustness against experimental noise. © 2013 IEEE.

关键词： Quantum computers

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Inconsistent Interpretations of an "-ility" in Practice: A Survey of Affordability Definitions within NASA MSFC

Inconsistent Interpretations of an "-ility" in Practice: A S...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： White, Christopher Eaton, Casey Yeazitzis, Taylor Perner, David Falcon, Amelia Mesmer, Bryan Weger, Kristin Thomas, L. Dale Department of Industrial and Systems Engineering and Engineering Management The University of Alabama in Huntsville HuntsvilleAL35899 United States Department of Psychology The University of Alabama in Huntsville HuntsvilleAL35899 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

systems engineering often employs "-ilities", such as affordability, to represent various aspects of a system. While these "-ilities" are widely used, exact definitions for the terms can vary between individuals. While most definitions of affordability include some cost notion, only a subset balance cost against a benefit. Additionally, some definitions treat affordability as a binary constraint, a system either is affordable or it is not. Others define it in more continuous terms which could be treated as an objective to be maximized. While multiple definitions can be readily observed from different sources, the degree to which definitions for a concept such as affordability differs within a single organization has not been thoroughly studied. This paper presents results from a survey completed by 172 employees of NASA Marshall Space Flight Center. Definitions of affordability from each participant are categorized ac-cording to how cost and benefit notions are used in the definition. Eight different categories of definitions were observed;however, 86 of the 172 definitions were categorized as involving a cost constraint with no clear benefit component. Due to the variety of definitions of affordability observed, practitioners should be cautious about assuming what stakeholders and fellow decision makers mean when using the term affordability. The use of affordability definitions categorized as involving only a cost constraint may result in the elimination of alternatives in a design space, rather than driving decision makers to continuously improve affordability. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： NASA

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Integrating Real-Time Machine Learning and Dynamic Charging for Electric Vehicle Routing 59

Integrating Real-Time Machine Learning and Dynamic Charging ...

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59th Annual Conference on Information Sciences and systems, CISS 2025

作者： Ghahfarokhi, Mandana Farhang Park, Hyoshin Pandey, Venktesh Yoon, Gyugeun Old Dominion University Department of Engineering Management and Systems Engineering NorfolkVA United States North Carolina A and T State University Department of Civil Architectural and Environmental Engineering GreensboroNC United States Seoul National University Department of Civil Engineering Seoul Korea Republic of

ISBN: (纸本)9798331513269

As electric vehicles (EVs) gain popularity, the demand for efficient EV routing and innovative charging solutions is increasing. This study proposes a novel integration of Temporal Multimodal Multivariate Learning (TMML) and the Time-Dependent Shortest Path (TDSP) algorithm to dynamically optimize EV routing while incorporating stationary and wireless charging systems. TMML continuously updates travel time distributions based on real-time observations, reducing uncertainties and enabling more accurate predictions. These updated distributions are utilized by TDSP to determine the most efficient routes, considering time-dependent travel times, and the availability of charging infrastructure. The methodology integrates Mobile Energy Distributors (MEDs) and Dynamic Inductive Charging (DIC). MED dynamically dispatches portable charging units, while DIC enables on-the-move charging through road-embedded systems. Real-world data from the Washington, DC metropolitan area, sourced from Regional Integrated Transportation Information System (***), provides granular insights into traffic patterns and charging infrastructure performance. This hybrid system operates by extracting feasible routes, evaluating them using TMML and TDSP, and selecting the optimal path to minimize travel time, waiting time, and charging costs. © 2025 IEEE.

关键词： Travel time

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Fuzzy Decision-Based Clustering for Efficient Data Aggregation in Mobile UWSNs

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Computers, Materials & Continua 2025年第4期83卷 259-279页

作者： Aadil Mushtaq Pandith Manni Kumar Naveen Kumar Nitin Goyal Sachin Ahuja Yonis Gulzar Rashi Rastogi Rupesh Gupta Department of Computer Science and Engineering Lovely Professional UniversityJalandhar144402PunjabIndia Department of Computer Science and Engineering Chandigarh UniversityMohali140413PunjabIndia Salesforce Inc. DallasTX 75201USA Department of Computer Science and Engineering School of Engineering and TechnologyCentral University of HaryanaMahendragarh123031HaryanaIndia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Application Sir Chhotu Ram Institute of Engineering and TechnologyCh.Charan Singh UniversityMeerut250001Uttar PradeshIndia Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpura140401PunjabIndia

Underwater wireless sensor networks(UWSNs)rely on data aggregation to streamline routing operations by merging information at intermediate nodes before transmitting it to the ***,many existing data aggregation techniques are designed exclusively for static networks and fail to reflect the dynamic nature of underwater ***,conventional multi-hop data gathering techniques often lead to energy depletion problems near the sink,commonly known as the energy hole ***,cluster-based aggregation methods face significant challenges such as cluster head(CH)failures and collisions within clusters that degrade overall network *** address these limitations,this paper introduces an innovative framework,the Cluster-based Data Aggregation using Fuzzy Decision Model(CDAFDM),tailored for mobile *** proposed method has four main phases:clustering,CH selection,data aggregation,and *** CH selection,a fuzzy decision model is utilized to ensure efficient cluster head selection based on parameters such as residual energy,distance to the sink,and data delivery likelihood,enhancing network stability and energy *** the aggregation phase,CHs transmit a single,consolidated set of non-redundant data to the base station(BS),thereby reducing data duplication and saving *** adapt to the changing network topology,the re-clustering phase periodically updates cluster formations and reselects *** results show that CDAFDM outperforms current protocols such as CAPTAIN(Collection Algorithm for underwater oPTical-AcoustIc sensor Networks),EDDG(Event-Driven Data Gathering),and DCBMEC(Data Collection Based on Mobile Edge Computing)with a packet delivery ratio increase of up to 4%,an energy consumption reduction of 18%,and a data collection latency reduction of 52%.These findings highlight the framework’s potential for reliable and energy-efficient data aggregation mobile UWSNs.

关键词： Clustering data aggregation data collection fuzzy model monitoring UWSN

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Data-driven finite-time adaptive attitude tracking control for spacecraft

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Advances in Space Research 2025年第12期75卷 8780-8791页

作者： Wang, Jianhui He, Guangping Bian, Guibin Geng, Shixiong College of Mechanical & Energy Engineering Beijing University Of Technology Beijing100124 China Department of Mechanical and Electrical Engineering North China University of Technology Beijing100144 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

This paper proposes a novel data-driven finite-time adaptive control method for the spacecraft attitude tracking control problem with inertial uncertainty. Based on the dynamic regression extension technique, the disturbance unit matrix is introduced, and the parameter estimation law in the form of algebraic equations is presented, which realizes the arbitrarily small convergence of parameter estimation error. The convergence of parameter estimation errors is verified through stability analysis. Globally non-singular fast terminal sliding mode control is designed to achieve finite-time arrival of the sliding surface and convergence of the system state error. The stability analysis of the closed-loop system demonstrates the effectiveness of the proposed method. Furthermore, the effectiveness and superiority of the proposed method are verified through numerical simulations of spacecraft attitude tracking control. © 2025 COSPAR

关键词： Attitude control

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Multi-period hub network design from a dual perspective: An integrated approach considering congestion, demand uncertainty, and service quality optimization

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European Journal of Operational Research 2025年第1期326卷 78-95页

作者： Bayram, Vedat Aydoğan, Çiya Kargar, Kamyar University of Kent Kent Business School Department of Analytics Operations and Systems Centre for Logistics and Sustainability Analytics Canterbury Kent United Kingdom Department of Industrial Engineering TED University Ankara Turkey Department of Industrial Engineering Middle East Technical University Ankara Turkey Lancaster University Management School Department of Management Science Lancaster LA1 4YX United Kingdom

This study introduces a hub network design problem that considers three key factors: congestion, demand uncertainty, and multi-periodicity. Unlike classical models, which tend to address these factors separately, our model considers them simultaneously, providing a more realistic representation of hub network design challenges. Our model also incorporates service level considerations of network users, extending beyond the focus on transportation costs. Service quality is evaluated using two measures: travel time and the number of hubs visited during travel. Moreover, our model allows for adjustments in capacity levels and network structure throughout the planning horizon, adding a dynamic and realistic aspect to the problem setting. The inherent nonlinear nonconvex integer programming problem is reformulated into a mixed-integer second-order cone programming (SOCP) problem. To manage the model's complexity, we propose an exact solution algorithm based on Benders decomposition, where the sub-problems are solved using a column generation technique. The efficacy of the solution approach is demonstrated through extensive computational experiments. Additionally, we discuss the benefits of each considered feature in terms of transportation costs and their impact on network structure, providing insights for the field. © 2025 The Authors

关键词： Travel time

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Transforming Education with AI and Robotics: Potential, Perceptions, and Infrastructure Needs 21st

Transforming Education with AI and Robotics: Potential, Pe...

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21st European, Mediterranean, and Middle Eastern Conference on Information systems, EMCIS 2024

作者： Vasou, Marina Kyprianou, Georgios Amanatiadis, Angelos Chatzichristofis, Savvas A. Intelligent Systems Laboratory Neapolis University Pafos Paphos Cyprus Department of Production and Management Engineering Democritus University of Thrace Komotini Greece

ISBN: (纸本)9783031813214

The rapid rise of artificial intelligence (AI) is reshaping various industries, with education emerging as a pivotal field ripe for transformation. AI’s ability to analyze vast amounts of data, recognize patterns and make predictive decisions positions it as a game-changer in the educational sector. This study investigates the integration of AI and robotic systems in education, examining their potential to revolutionize learning experiences and outcomes. AI transforms education by enabling personalized learning paths, enhancing student engagement through adaptive learning platforms, and providing real-time feedback and assessment. It facilitates differentiated instruction tailored to individual student needs and fosters an environment where students can learn at their own pace. The research, involving a survey of 248 respondents from Cyprus and Greece, highlights a strong correlation between higher educational attainment and greater awareness and appreciation of AI’s role in education. There is significant support among educators and students for integrating AI into educational practices, underscoring a readiness to embrace these technologies for improved educational outcomes. However, the study also identifies critical challenges, including inadequate infrastructure and the need for substantial financial support to fully leverage AI’s potential. This research emphasizes the transformative impact of AI in education and advocates for strategic investments to overcome existing barriers and enhance the educational landscape through advanced technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Federated learning

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Extended warranty pricing in a competitive aftermarket under logit demand

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European Journal of Operational Research 2025年第3期325卷 541-552页

作者： Wang, Xiao-Lin Peng, Shizhe Zhang, Xiaoge Business School Sichuan University Chengdu610065 China School of Economics and Management Changsha University of Science and Technology Changsha410114 China Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong

It is common for multiple firms—such as manufacturers, retailers, and third-party insurers—to coexist and compete in the aftermarket for durable products. In this paper, we study price competition in a partially concentrated aftermarket where one firm offers multiple extended warranty (EW) contracts while the others offer a single one. The demand for EWs is described by the multinomial logit model. We show that, at equilibrium, such an aftermarket behaves like a combination of monopoly and oligopoly. Building upon this base model, we further investigate sequential pricing games for a durable product and its EWs to accommodate the ancillary nature of after-sales services. We consider two scenarios: one where the manufacturer (as the market leader) sets product and EW prices simultaneously, and another where these decisions are made sequentially. Our analysis demonstrates that offering EWs incentivizes the manufacturer to lower the product price, thereby expanding the market potential for EWs. Simultaneous product–EW pricing leads to a price concession on EWs compared to sequential pricing, effectively reducing the intensity of competition in the aftermarket. Overall, the competitiveness of an EW hinges on its ability to deliver high value to consumers at low marginal cost to its provider. While our focus is on EWs, the proposed game-theoretical pricing models apply broadly to other ancillary after-sales services. © 2025 Elsevier B.V.

关键词： After-sales service Market-share redistribution Multinomial logit Pricing Simultaneous/sequential game

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Ecology, Spatial Structure, and Selection Pressure Induce Strong Signatures in Phylogenetic Structure

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Artificial life 2025年第2期31卷 129-152页

作者： Moreno, Matthew Andres Rodriguez-Papa, Santiago Dolson, Emily University of Michigan Department of Ecology and Evolutionary Biology Center for the Study of Complex Systems Michigan Institute for Data and AI in Society Michigan State University Department of Computer Science and Engineering Michigan State University Department of Computer Science and Engineering Program in Ecology Evolution Behavior

Evolutionary dynamics are shaped by a variety of fundamental, generic drivers, including spatial structure, ecology, and selection pressure. These drivers impact the trajectory of evolution and have been hypothesized to influence phylogenetic structure. For instance, they can help explain natural history, steer behavior of contemporary evolving populations, and influence the efficacy of application-oriented evolutionary optimization. Likewise, in inquiry-oriented Artificial Life systems, these drivers constitute key building blocks for open-ended evolution. Here we set out to assess (a) if spatial structure, ecology, and selection pressure leave detectable signatures in phylogenetic structure;(b) the extent, in particular, to which ecology can be detected and discerned in the presence of spatial structure;and (c) the extent to which these phylogenetic signatures generalize across evolutionary systems. To this end, we analyze phylogenies generated by manipulating spatial structure, ecology, and selection pressure within three computational models of varied scope and sophistication. We find that selection pressure, spatial structure, and ecology have characteristic effects on phylogenetic metrics, although these effects are complex and not always intuitive. Signatures have some consistency across systems when using equivalent taxonomic unit definitions (e.g., individual, genotype, species). Furthermore, we find that sufficiently strong ecology can be detected in the presence of spatial structure. We also find that, while low-resolution phylogenetic reconstructions can bias some phylogenetic metrics, high-resolution reconstructions recapitulate them faithfully. Although our results suggest a potential for evolutionary inference of spatial structure, ecology, and selection pressure through phylogenetic analysis, further methods development is needed to distinguish these drivers' phylometric signatures from each other and to appropriately normalize phylogenetic metrics.

关键词： agent-based simulation Artificial Life Ecology evolution evolutionary dynamics phylogenetic analysis phylogeny metrics

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