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An Efficient structured Perceptron for NP-Hard Combinatorial optimization Problems 1

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21st International conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR)

作者： Vejar, Bastian Aglin, Gael Mahmutogullari, Ali Irfan Nijssen, Siegfried Schaus, Pierre Guns, Tias Katholieke Univ Leuven Dept Comp Sci Leuven Belgium UCLouvain ICTEAM Louvain La Neuve Belgium

ISBN: (数字)9783031605994

ISBN: (纸本)9783031606014;9783031605994

A fundamental challenge when modeling combinatorial optimization problems is that often multiple sub-objectives need to be weighted against each other, but it is not clear how much weight each sub-objective should be given: consider routing problems that trade off distance and duration where the relative importance of the two is not known a priori. In recent work, it has been proposed to use machine learning algorithms from the domain of structured output prediction to learn such weights from examples of desirable solutions. However, until now such techniques were only evaluated on fast-to-solve optimization problems. We propose and evaluate three techniques that make it feasible to apply the structured perceptron on NP-hard optimization problems: 1) using heuristic solving methods during the learning process, 2) solving well-chosen satisfaction variants of the problems, 3) caching solutions computed during the learning process and reusing them. Experiments confirm the validity and speed-ups of these techniques, enabling structured output learning on larger combinatorial problems than before.

关键词： structured output prediction Combinatorial optimization structured Perceptron

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LLM-BASED ADAPTIVE, AUTOMATIC AND DYNAMIC EVALUATION system 21

LLM-BASED ADAPTIVE, AUTOMATIC AND DYNAMIC EVALUATION SYSTEM

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21st International conferences on Mobile Learning, ML 2025 and 10th International conference on Educational Technologies, ICEduTech 2025

作者： Arnould, Ludovic Al Assaad, Mohamad Talan Research & Innovation Center Paris France

ISBN: (纸本)9789898704665

The goal of this paper is to develop an evaluation system that leverages recent advances in language processing to be automatic, adaptive, and more efficient than traditional modeling systems. From a user perspective, it would function as a dynamic chat, similar to interactions with current Large Language Models (LLMs) such as ChatGPT (Brown, 2020) or LLaMA (Dubey et al., 2024). Typically, the teacher LLM, in charge of interacting with the user, can ask general questions about the user’s background, produce tailored exercises, provide help, and more. In the backend, different modules (often referred to as agents in the field of LLMs) are assigned to different tasks such as evaluating the user’s responses, generating exercises, etc. Another LLM, referred to as the assistant, would supervise these agents, and provide the teacher with relevant information. © 2025 Proceedings of the International conferences on Mobile Learning 2025 and Educational Technologies 2025. All rights reserved.

关键词： Chatbots

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A Python Tool for Simulation and Optimal Sizing of a storage Equipped Grid Connected Photovoltaic Power system 21

A Python Tool for Simulation and Optimal Sizing of a Storage...

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21st IEEE Mediterranean Electrotechnical conference (IEEE MELECON)

作者： Belloni, Elisa Lozito, Gabriele Maria Reatti, Alberto Univ Perugia Dept Engn Perugia Italy Univ Firenze Dipartimento Ingn Informaz Florence Italy

ISBN: (数字)9781665442800

ISBN: (纸本)9781665442800

Optimal sizing of a photovoltaics power system equipped with energy storage is of critical importance to maximize the economic revenue and to reduce the early aging of the storage devices. In this work, a simulation model for the evaluation of the electrical behavior of a photovoltaic system, connected to the grid and equipped with a battery storage system, is proposed. The model is implemented in Python, and it is directly connected to the European PVGis portal to use temperature and irradiance profiles from arbitrary locations. The simulation system is coupled with a metaheuristic optimization algorithm to determine the optimal sizing of the power plant, considering as cost function the energy taken from the grid. Optimal parameters such as the number of panels (PV area) and battery's capacity are obtained for several boundary conditions.

关键词： photovoltaic system model solar energy Python algorithm performance evaluation battery functioning model

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MULTI stAGE MONTE CARLO optimization APPLIED TO A LARGE NONLINEAR PROBLEM WITH FIVE RANGE SIZES FOR THE VARIABLES 21

MULTI STAGE MONTE CARLO OPTIMIZATION APPLIED TO A LARGE NONL...

引用

21st International Industrial Simulation conference, ISC 2023

作者： Conley, William Austin Cofrin School of Business University of Wisconsin at Green Bay 443 Wood Hall Green BayWI54311 United States

ISBN: (纸本)9789492859266

statistical optimization, or multi stage Monte Carlo optimization (MSMCO), is used here to solve a 175 variable with 175 equations nonlinear system for the true optimal solution. This problem requires that all of the variable values be whole numbers in the final solution, even though extended precision real variable values are used throughout the simulation to efficiently find the all whole numbers solution. Sometimes out in the "real world" of engineering, science and business all of the variables have the same ranges as in 0 to 1000, etc. However, in the problems presented here, some of the variable ranges are 200 units wide and some are much wider, even up to 1000 units wide. Therefore, the closing in on the region where the optimal solution is located must be done more carefully or some of the variable dimensions will "disappear" creating severe difficulties with the simulation. This difficulty will be overcome by selecting appropriate "focusing factors" for each of the 175 variables so that they are all treated about equally as the simulation proceeds. Additionally, "balancing weights" will be added to the equation to further smooth this simulation on its journey to the optimal solution (with no equation errors) while traveling through 175 dimensional space. Drawings will be presented to partially illustrate this somewhat "free form" Bayesian discovery analysis that is going on in the simulation as it proceeds across the sampling distribution under study to find the correct answer. © 2023 EUROSIS-ETI.

关键词： Real variables

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Action-Evolution Petri Nets: A Framework for modeling and Solving Dynamic Task Assignment Problems 21st

Action-Evolution Petri Nets: A Framework for Modeling and So...

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21st International conference on Business Process Management (BPM)

作者： Lo Bianco, Riccardo Dijkman, Remco Nuijten, Wim van Jaarsveld, Willem Eindhoven Univ Technol Eindhoven Netherlands Eindhoven Artificial Intelligence Syst Inst Eindhoven Netherlands

ISBN: (纸本)9783031416194;9783031416200

Dynamic task assignment involves assigning arriving tasks to a limited number of resources in order to minimize the overall cost of the assignments. To achieve optimal task assignment, it is necessary to model the assignment problem first. While there exist separate formalisms, specifically Markov Decision Processes and (Colored) Petri Nets, to model, execute, and solve different aspects of the problem, there is no integrated modeling technique. To address this gap, this paper proposes Action-Evolution Petri Nets (A-E PN) as a framework for modeling and solving dynamic task assignment problems. A-E PN provides a unified modeling technique that can represent all elements of dynamic task assignment problems. Moreover, A-E PN models are executable, which means they can be used to learn close-to-optimal assignment policies through Reinforcement Learning (RL) without additional modeling effort. To evaluate the framework, we define a taxonomy of archetypical assignment problems. We show for three cases that A-E PN can be used to learn close-to-optimal assignment policies. Our results suggest that A-E PN can be used to model and solve a broad range of dynamic task assignment problems.

关键词： Petri Nets Dynamic Assignment Problem Business Process optimization Markov Decision Processes Reinforcement Learning

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Web-Based Machine Learning system for Assessing Consumer Behavior 1st

Web-Based Machine Learning System for Assessing Consumer Beh...

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21st International conference on Informatics in Economy (IE) - Education, Research and Business Technologies

作者： Arghir, Denis-Catalin Bucharest Univ Econ Studies Bucharest Romania

ISBN: (纸本)9789811967573;9789811967559;9789811967542

This paper introduces a new web-based system to automate the use of machine learning techniques to support decision-makers in identifying and assessing consumer's behavior. Customer retention is one of the main pillars of business development in the competitive market, and the timely identification of factors that influence customer opinions is a topic of real interest for both business and academia. Seven machine learning classification methods were applied and evaluated on an established dataset aimed at understanding the behavior of the consumer of banking services. A new web application was developed to automatize the assessment of implemented techniques and reveal the optimum one, in terms of performance, by fine-tuning the parameters of the selected models. This solution can be successfully applied on other datasets gathered to better target the marketing campaign and prioritize the promotion to customers who have a high potential to hire a new service or purchase a particular product.

关键词： Consumer behavior Machine learning Telemarketing Web application

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An Optimal Control Approach for Switched Nonlinear systems Based on Selfish Herd optimization Algorithm 21

An Optimal Control Approach for Switched Nonlinear Systems B...

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21st IEEE International conference on Sciences and Techniques of Automatic Control and Computer Engineering, stA 2022

作者： Kermani, Marwen Sakly, Anis Tunisia

ISBN: (纸本)9781665482615

This paper addresses the optimal control problem of switched nonlinear systems. Indeed, a new mechanistic algorithm called Selfish Herd optimization (SHO) is suggested. The proposed approach consists of minimizing a defined performance criterion that depends on the optimal switching instants to be found. Finally, the effectiveness of the proposed approach is illustrated through a switched hydraulic two-tank nonlinear system. © 2022 IEEE.

关键词： Optimal control systems

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Establishing an Innovative User-Friendly Expert system for Design of Mixing Ratios of Self-Compacting Concrete 21

Establishing an Innovative User-Friendly Expert System for D...

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21st International Multi-conference on systems, Signals and Devices, SSD 2024

作者： Rawashdeh, Adnan Al-Mattarneh, Hashem Ismail, Rabah Nimer, Hamsa Khodier, Mohanad Mohammed, Bashar S. Yarmouk University Department of Information Technology Irbid Jordan Yarmouk University Civil Engineering Department Irbid Jordan Jadara University Civil Engineering Department Irbid Jordan Universiti Teknologi PETRONAS Civil Engineering Department Perak Malaysia

ISBN: (纸本)9798350374131

Over the past twenty years, there has been significant diversification and advancement in the quality of construction materials. A notable contribution is the evolution of self-compacting concrete which has, however, magnified the complexity of designing mixtures for such materials. The maj or challenge lies in determining the proportions of each ingredient and their respective impact on material properties and efficacy in construction. To address these complexities, this study introduces an expert, user-friendly graphical interface software for designing the mix proportions of self-compacting concrete. The software assimilates data specific to this type of concrete and devises empirical models to correlate its performance metrics, such as strength and workability, with the volume fractions (ratios) of its constituents. Additionally, a nonlinear optimization module is incorporated, utilizing multi-objective functions with specified lower and upper bounds, as well as linear and nonlinear constraints. The software has been subjected to calibration and validation processes using various self-compacting concrete formulations. Ultimately, it offers a solution that is quick, simple, and cost-effective to serve as a useful and valuable resource for students and practicing engineers involved in the design of mix proportions of self-compacting concrete. © 2024 IEEE.

关键词： Self compacting concrete

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Wind turbine pitch and active tower damping control using metaheuristic multi-objective bat optimization 21

Wind turbine pitch and active tower damping control using me...

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21st International conference on modeling and Applied Simulation, MAS 2022

作者： Gambier, Adrian Nazaruddin, Yul Yunazwin Fraunhofer IWES Fraunhofer Institute for Wind Energy Systems Am Seedeich 45 Bremerhaven27572 Germany Institut Teknologi Bandung Bandung40132 Indonesia

ISBN: (纸本)9788885741775

Collective pitch control (CPC) is normally combined with an active tower damping control (ATDC) and both control loops are commonly found in the control system of very large wind turbines. Normally, each controller is fine-tuned individually. However, the control loops have a conflict of interest: whereas the CPC keeps the rotational speed constant during overrated wind speed and introduces significant oscillations in the tower subsystem, the ATDC reduces the tower oscillations while detuning the CPC. Thus, the aim of the present contribution is to find an optimal balance where cooperative tuning of both controllers leads to the best possible performance of both controllers with the fewest reciprocal negative effects. In order to achieve the goal, the multi-objective bat algorithm is utilized to obtain all controller parameters. The effectiveness of the methodology is shown by means of a simulation example. © 2022 The Authors.

关键词： Wind turbines

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Dynamic Analysis of Jumper Cables for Offshore Floating Photovoltaic system 21

Dynamic Analysis of Jumper Cables for Offshore Floating Phot...

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21st IEEE International conference on Mechatronics and Automation (IEEE ICMA)

作者： Hu, Shundi Fu, Qiang Wang, Chunjie Tianjin Univ Technol Sch Elect Engn & Automat Tianjin Peoples R China Tianjin Univ Technol Tianjin Key Lab New Energy Power Convers Transmis Tianjin Peoples R China

ISBN: (纸本)9798350388084;9798350388077

In this paper, the dynamic mechanical properties of jumper cables in offshore floating photovoltaic power systems are studied. By establishing a mathematical model based on parabola theory and using finite element simulation software for experimental analysis, the stability and reliability of jumper cable in Marine environment are discussed in this study. It is found that the design and laying of jumper cables are crucial to the performance of the entire power system, especially in the electrical properties, mechanical properties, weather resistance and corrosion resistance of the cables. In addition, factors such as the bending radius, tension, redundant length and protective measures of the cable also need to be carefully considered to ensure the normal operation and maintenance of the cable, reduce costs and extend the life of the cable. This study provides theoretical support for the scale, commercialization and standardization of offshore photovoltaic power systems, and has guiding significance for future design and performance optimization.

关键词： Jumper cable Offshore floating PV Dynamic mechanical properties

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