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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Durasević, Marko Dumić, Mateja Gil-Gala, Francisco Javier University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia School of Applied Mathematics and Informatics J. J. Strossmayer University of Osijek Osijek Croatia University of Oviedo Department of Computing Gijon Spain

ISBN: (纸本)9798350308365

The container relocation problem (CRP) in shipping terminals is becoming increasingly important due to the growing amount of transferred goods. Until now, the most commonly investigated problem variant has been the offline CRP, in which the order in which the containers need to be retrieved is known beforehand. However, in many real-world situations this is not the case, which is modelled using the online CRP variant. In this variant, not all information is available from the beginning, but rather, it becomes available as the problem is being solved. Unfortunately, many traditional metaheuristic solution methods can not be applied to such a problem variant, which prompts the application of problem-specific heuristics called relocation rules (RRs). However, RRs are challenging to design manually, which prompted the application of genetic programming (GP) to design them automatically. Since GP was used only to design RRs for the offline problem variant, we apply GP to design relocation rules for the online variant in this study. The performance of GP is investigated under different levels of information availability to measure its performance. The results demonstrate that GP can evolve RRs that perform better than existing manually designed ones. Furthermore, the results show that in certain cases, rules generated for one level of information availability perform well for other levels, demonstrating that the evolved rules exhibit a good generalisation capability. © 2024 IEEE.

关键词： Genetic programming

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Constructing Ensembles of Automatically Designed Relocation Rules for the Container Relocation Problem 13

Constructing Ensembles of Automatically Designed Relocation ...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

ISBN: (纸本)9798350308365

Automated design of heuristics with genetic programming (G P) has, in recent years, become an intensively researched research area. One of the most recent applications of this methodology is to generate relocation rules (RRs) for the container relocation problem (CRP). CRP is an important combinatorial optimisation problem that is found in ship ter-minals and warehouses. RRs are simple constructive heuristic methods that provide a good solution quickly, thus representing an alternative to computationally expensive exact or metaheuris-tic methods. Even though the RRs designed by GP provide an improvement over existing manually designed rules, they have limited performance. An efficient way to improve the performance of RRs generated by GP is to use ensemble learning. In this study, we apply ensemble learning on RRs generated by GP for CRP to improve the performance of individual rules. We investigate how different ensemble sizes and combination methods affect the quality of the results, as well as which rules are selected to form ensembles. The experimental study shows that ensembles constructed out of automatically designed RRs significantly improve performance compared to the individual rules. © 2024 IEEE.

关键词： Combinatorial optimization

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Assistive force control in collaborative human-robot transportation

Assistive force control in collaborative human-robot transpo...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Bruno G. C. Lima Enrico Ferrentino Pasquale Chiacchio Mario Vento Department of Information Engineering Electrical Engineering and Applied Mathematics (DIEM) University of Salerno

Collaborative robotics has gained significant traction in the industrial scenario due to its ability to merge human cognitive abilities with robot strength and dexterity. One specific area where this technology is promising is the transportation of heavy and/or bulky objects. In the scenarios where the human leads, physical human-robot interaction triggers cognitive human-robot interaction, by which the robot is called to adapt its behavior to the collaborator’s intention. Based on this principle, this paper introduces a novel control architecture, namely assistive force control (AFC), by which the robot’s purpose is to alleviate the human collaborator’s effort during transportation. Instead of acting on the robot’s motion, the AFC acts on its causes, by intuitively defining assistive forces, which are input to a lower-level direct force controller. We validate the proposed architecture on two real-case transportation scenarios involving an industrial robot collaboratively carrying objects with different subjects. Our preliminary results show that low effort is required for human operators to manipulate heavy objects, confirming that the proposed architecture is well-suited for collaborative transportation in real-world scenarios.

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Existence of solutions to the generalized periodic fractional boundary value problem

Existence of solutions to the generalized periodic fractiona...

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作者： Fečkan, Michal Marynets, Kateryna Wang, JinRong Department of Mathematical Analysis and Numerical Mathematics Comenius University in Bratislava Bratislava Slovakia Mathematical Institute of Slovak Academy of Sciences Bratislava Slovakia Delft Institute of Applied Mathematics Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Department of Mathematics Guizhou University Guiyang China

We study a boundary value problem for a Caputo-type fractional differential equation subjected to periodic boundary conditions. For an auxiliary problem with the simplified right-hand side, we explicitly construct its unique solution. In addition, based on the theory of the topological index, we prove existence of at least one solution to the original problem. © 2023 The Authors. Mathematical Methods in the applied Sciences published by John Wiley & Sons Ltd.

关键词： Boundary value problems

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DeepONet: Learning the sound propagation in 1D with parameterized sources using deep learning for approximating the wave equation operators 24

DeepONet: Learning the sound propagation in 1D with paramete...

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24th International Congress on Acoustics, ICA 2022

作者： Borrel-Jensen, Nikolas Engsig-Karup, Allan P. Jeong, Cheol-Ho Technical University of Denmark Department of Electrical and Photonics Engineering Denmark Technical University of Denmark Department of Applied Mathematics and Computer Science Denmark

Realistic acoustics for virtual environments – such as computer games and mixed reality – is essential to achieve an immersive user experience and is getting more attention these years. Numerical methods have traditionally been used for calculating the sound propagation off-line;however, when solving for moving sources, these methods quickly get intractable both from a calculation time and storage viewpoint. Therefore, we propose a novel approach, where the wave equation operators (contrary to functions) are learned for arbitrary source inputs. The DeepONet architecture is used, as it is a general framework having already demonstrated its capability to approximate operators in other applications. As a result, an efficient surrogate model handling impedance boundaries in 1-D is learned. We present results of a model showing errors below 2%, executes in milliseconds and can be trained in less than 5 minutes, leaving optimistic expectations for extending the method to more complex 3-D scenes. © 2022 Proceedings of the International Congress on Acoustics. All rights reserved.

关键词： Computer games

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Stochastic Multi-round Submodular Optimization with Budget

arXiv

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arXiv 2024年

作者： Auletta, Vincenzo Ferraioli, Diodato Vinci, Cosimo Department of Information Engineering Electrical Engineering and Applied Mathematics University of Salerno Italy Department of Mathematics and Physics "Ennio De Giorgi" University of Salento Italy

In this work, we study the Stochastic Budgeted Multi-round Submodular Maximization (SBMSm) problem, where we aim to adaptively maximize the sum, over multiple rounds, of a monotone and submodular objective function defined on subsets of items. The objective function also depends on the realization of stochastic events, and the total number of items we can select over all rounds is bounded by a limited budget. This problem extends, and generalizes to multiple round settings, well-studied problems such as (adaptive) influence maximization and stochastic probing. We show that, if the number of items and stochastic events is somehow bounded, there is a polynomial time dynamic programming algorithm for SBMSm. Then, we provide a simple greedy 1/2(1 − 1/e − ǫ) ≈ 0.316-approximation algorithm for SBMSm, that first non-adaptively allocates the budget to be spent at each round, and then greedily and adaptively maximizes the objective function by using the budget assigned at each round. Finally, we introduce the budget-adaptivity gap, by which we measure how much an adaptive policy for SBMSm is better than an optimal partially adaptive one that, as in our greedy algorithm, determines the budget allocation in advance. We show that the budget-adaptivity gap lies between e/(e − 1) ≈ 1.582 and 2. © 2024, CC BY.

关键词： Combinatorial optimization

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A Fractional Lagrangian Approach for Two Masses with Linear and Cubic Nonlinear Stiffness

A Fractional Lagrangian Approach for Two Masses with Linear ...

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2023 International Conference on Fractional Differentiation and Its Applications, ICFDA 2023

作者： Defterli, Ozlem Baleanu, Dumitru Jajarmi, Amin Wannan, Rania Asad, Jihad Cankaya University Department of Mathematics Ankara Turkey Institute of Space Sciences Magurele Bucharest Romania University of Bojnord Department of Electrical Engineering Bojnord Iran Palestine Technical University Department of Applied Mathematics Tulkarm Palestine Palestine Techical University Department of Physics Tulkarm Palestine

ISBN: (纸本)9798350321685

In this manuscript, the fractional dynamics of the two-mass spring system with two kinds of stiffness, namely linear and strongly nonlinear, are investigated. The corresponding fractional Euler-Lagrange equations of the system are derived being a system of two-coupled fractional differential equations with strong cubic nonlinear term. The numerical results of the system are obtained using Euler's approximation method and simulated with respect to the different values of the model parameters as mass, stiffness and order of the fractional derivative in use. The interpretation of the approximate results of the so-called generalized two-mass spring system is discussed via the fractional order. © 2023 IEEE.

关键词： Stiffness

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Trustworthy Actionable Perturbations

arXiv

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arXiv 2024年

作者： Friedbaum, Jesse Adiga, Sudarshan Tandon, Ravi Program in Applied Mathematics University of Arizona TucsonAZ United States Department of Electrical and Computer Engineering University of Arizona TucsonAZ United States

Counterfactuals, or modified inputs that lead to a different outcome, are an important tool for understanding the logic used by machine learning classifiers and how to change an undesirable classification. Even if a counterfactual changes a classifier’s decision, however, it may not affect the true underlying class probabilities, i.e. the counterfactual may act like an adversarial attack and "fool" the classifier. We propose a new framework for creating modified inputs that change the true underlying probabilities in a beneficial way which we call Trustworthy Actionable Perturbations (TAP). This includes a novel verification procedure to ensure that TAP change the true class probabilities instead of acting adversarially. Our framework also includes new cost, reward, and goal definitions that are better suited to effectuating change in the real world. We present PAClearnability results for our verification procedure and theoretically analyze our new method for measuring reward. We also develop a methodology for creating TAP and compare our results to those achieved by previous counterfactual methods. © 2024, CC BY.

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Vivaldi Antipodal Antenna with triangular slots fed by air-filled RSIW for UWB applications 1

Vivaldi Antipodal Antenna with triangular slots fed by air-f...

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1st IEEE Latin American Conference on Antennas and Propagation, LACAP 2024

作者： de Carneiro, Priscilla Kadja P.M. Da Souza, Juliete S. Neto, Alfredo Gomes Serres, Georgina Karla de F. Herbster, Adolfo F. Serres, Alexandre Jean R. Federal University of Campina Grande UFCG Graduate Program in Electrical Engineering Campina Grande Brazil GTEMA Federal Institute of Paraíba IFPB Group of Telecommunications and Applied Electromagnetism João Pessoa Brazil Federal University of Campina Grande UFCG Department of Electrical Engineering Campina Grande Brazil

ISBN: (纸本)9798331527587

This paper presents a modified Vivaldi antipodal antenna using air-filled RSIW technology for UWB applications. The structure has a triangular slot edge, extending the bandwidth and increasing the gain. A prototype of the modified antenna was simulated and fabricated. The measured results show reasonable agreement with simulations, validating the design procedure. The proposed antenna offers a low-cost, easy-to-manufacture and compact solution. Additionally, improvements in performance were observed, including a 1 GHz increase in bandwidth and an additional 1.58 dB in gain, compared to the antenna using only the RSIW technology. © 2024 IEEE.

关键词： Substrate integrated waveguides

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Exploring the Impact of Absorber Material on the Performance of a Terahertz Microbolometer by Finite Element Analysis 18

Exploring the Impact of Absorber Material on the Performance...

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18th IEEE Nanotechnology Materials and Devices Conference, NMDC 2023

作者： Mura, Monica La Lamberti, Patrizia Tucci, Vincenzo Jorudas, Justinas Cojocari, Maria Fedorov, Georgy Kuzhir, Polina University of Salerno Dept. of Information and Electrical Engineering and Applied Mathematics via Giovanni Paolo II 132 SA Fisciano84084 Italy Finland University of Eastern Finland Department of Physics and Mathematics Joensuu80100 Finland

ISBN: (纸本)9798350335460

Microbolometers, functioning as sensitive detectors, play a crucial role in terahertz imaging systems by converting terahertz radiation into measurable electrical signals. The performance of microbolometers heavily relies on the properties of the absorber material employed. In this study, we numerically investigate the impact of two distinct absorber materials, namely gold and pyrolytic carbon (PyC), on the performance of terahertz microbolometers. Finite element simulations are conducted to analyze the absorber material effect on the thermal transient time constant, that is the limiting factor for the bolometer response time, and the mechanical resonance frequency shift, that is related to the sensitivity of microbolometers. The results will help improving detectors for terahertz imaging systems, which represent powerful tools for non-invasive inspection and characterization in various fields. © 2023 IEEE.

关键词： Bolometers

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