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A Greedy Search Based Ant Colony Optimization Algorithm for Large-Scale Semiconductor Production 19

A Greedy Search Based Ant Colony Optimization Algorithm for ...

引用

19th international conference on Software Technologies, ICSOFT 2024

作者： Ali, Ramsha Qaiser, Shahzad El-Kholany, Mohammed M.S. Eftekhari, Peyman Gebser, Martin Leitner, Stephan Friedrich, Gerhard Department of Artificial Intelligence and Cybersecurity University of Klagenfurt Austria Department of Management Control and Strategic Management University of Klagenfurt Austria Faculty of Computers and Artificial Intelligence Cairo University Egypt

ISBN: (纸本)9789897587061

This paper presents a hybrid ant colony optimization algorithm for solving large-scale scheduling problems in semiconductor production, which can be represented as a Flexible Job Shop Scheduling Problem (FJSSP) with the objective of minimizing the makespan required to complete all jobs. We propose a Greedy Search based Ant Colony Optimization (GSACO) algorithm, where each ant constructs a feasible schedule using greedy search. For the sequencing of operations, accomplished in the first phase of GSACO, the ants adopt a probabilistic decision rule taking pheromone trails into account. The flexible machine assignment is then greedily performed in the second phase by allocating operations one by one to an earliest available machine. We evaluate our approach using classical FJSSP benchmarks as well as large-scale instances with about 10000 operations from the domain of semiconductor production scheduling. On these large-scale scheduling problems, our GSACO algorithm successfully overcomes the scalability limits of exact optimization by means of a state-of-the-art Constraint Programming approach, included as baseline for our experimental comparison. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Ant colony optimization

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Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy systems

Towards Reliable Uncertainty Quantification and High Precisi...

引用

IEEE international conference on Fuzzy systems (FUZZ-IEEE)

作者： Avci, Batuhan Beke, Aykut Kumbasar, Tufan Istanbul Tech Univ Control & Automat Engn Dept Istanbul Turkiye ASELSAN Inc Control Syst Design Dept Ankara Turkiye

ISBN: (纸本)9798350332285

Deep learning models have been successfully developed to solve complex problems with the main focus on high precision. Yet, accurately assessing uncertainty and prediction is essential for making informed decisions, especially in high-risk tasks. In this paper, we present a step towards learning reliable uncertainty quantification and high precision performance via alpha-plane based General Type-2 Fuzzy Logic systems (GT2-FLSs). To balance between accuracy and uncertainty quantification, we propose a novel composite loss function consisting of an accuracyfocused and uncertainty-focused loss term that exploits the parameters of the Secondary Membership Functions (SMFs). For the uncertainty-focused term, we use only the type-reduced set of alpha(0) = 0 plane of the GT2-FLS, i.e. the size of the SMFs, which does not contribute to the output calculation directly. In the accuracyfocused part, we present two options for the error terms. One uses the aggregated output while the other uses only the output alpha(k) = 1 plane of the GT2-FLS. In both terms, we make the SMF shape parameters responsible for learning pointwise prediction. We present statistical comparisons and demonstrate that the learned GT2-FLSs generate reliable prediction intervals while also resulting in high-precision performance. The results show the potential of the proposed approach for GT2-FLS as a promising solution for making reliable predictions in real-world applications.

关键词： general type-2 fuzzy logic systems accuracy uncertainty prediction interval deep learning

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Identifying the Problem Structure. Part 1: General Concepts and Approaches

Identifying the Problem Structure. Part 1: General Concepts ...

引用

international conference on control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Sophiya Rumovskaya Igor Kirikov KB FRCCSCRAS Kaliningrad Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

complex practical problems arising in production, economic, and social systems are characterized by weak formalization, complex structure, network nature of conditions and goals, significant opacity, subjectivity, and dynamism. To solve such a problem, the latter must first be presented as a system of interconnected tasks. The building of such decompositions (structures) is also not a trivial task. The paper considers the concept of decomposition of a problem as a system, the concept of structure, types of structures as well as general algorithms and approaches to the decomposition.

关键词： Automation Industrial economics Buildings control systems Mathematical models Energy efficiency

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Neural Network-based modeling or Boiler Combustion control System for Power Generation 6

Neural Network-based Modeling or Boiler Combustion Control S...

引用

6th IEEE international conference on Knowledge Innovation and Invention, ICKII 2023

作者： Song, Jinghui Feng, Yongxin China Southern Power Grid Power Technology Co. Ltd Guangzhou510600 China

ISBN: (纸本)9798350323535

The numerous factors affecting combustion complicate the combustion process of the power generation boiler. In supervising the combustion process of the boiler, special attention needs to be paid to the characteristics of the factory and the combustion of the boiler. In the improvement of the power boiler system, it is useful to realize the automatic control and intelligent operation of the boiler. To understand the boiler factory characteristics, fuel characteristics, and other parameters and to clarify the complex coupling relationship between the parameters, an improved design of the combustion control of the boiler is required. Therefore, we established the combustion control system to realize the nonlinear identification of the combustion process of the boiler using the nonlinear learning ability of the neural network. We proposed the modeling mechanism of a power boiler combustion control system. We analyzed the working principle of the boiler combustion system and the combustion process. We tested the model by preprocessing and analyzing the combustion optimization using input and output data to optimize the system architecture design. © 2023 IEEE.

关键词： control systems

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Design and Implementation of Intelligent Cluster Simulation System Based on DDS

Design and Implementation of Intelligent Cluster Simulation ...

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international conference on Autonomous Unmanned systems (ICAUS)

作者： Ma, Zhenyu Luo, Qiang Zhao, Junmin Huang, Yuyang Xian Modern Control Technol Res Inst Xian 710065 Peoples R China

ISBN: (纸本)9789819904815;9789819904792;9789819904785

Aiming at the problems of complex data distribution logic and low execution efficiency in intelligent cluster simulation, an intelligent cluster simulation system based on DDS is designed. Firstly, according to the characteristics of cluster combat system, DDS is used to build the architecture of intelligent cluster simulation environment;Secondly, the specific implementation of the simulation system is described in detail from the system operation logic flow and working mode;Finally, through the hardware in the loop cluster formation simulation test, the data interaction ability, real-time and expansibility of the simulation system are verified. The test results show that this simulation system has data-efficient, high-speed interactive capabilities, and can realize cluster distributed real-time simulation.

关键词： DDS Intelligent cluster Distributed Real-time simulation Data interaction

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Guided Reward Design in Continuous Reinforcement Learning for Quantum control

Guided Reward Design in Continuous Reinforcement Learning fo...

引用

2023 IEEE international conference on systems, Man, and Cybernetics, SMC 2023

作者： Zhou, Shumin Ma, Hailan Kuang, Sen Dong, Daoyi University of Science and Technology of China Department of Automation Hefei230027 China School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia School of Engineering Australian National University CanberraACT2601 Australia

ISBN: (纸本)9798350337020

Reinforcement learning has been intensively applied to tackle complex quantum control problems owing to its adaptability in dynamic environments. However, commonly used reinforcement learning algorithms are restricted to selecting actions from a discrete action space, which may result in inaccurate control. In order to surpass this constraint, we propose an improved continuous reinforcement learning algorithm that can generate control policies in a continuous action space, enabling precise control of quantum systems. Moreover, a guided reward function design method is proposed to guide the learning process toward higher fidelity. Numerical results demonstrate that the proposed continuous reinforcement learning algorithm with a guided reward function can capably prepare states on one-qubit and two-qubit systems. © 2023 IEEE.

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Comparative Analysis of C/OCGA Sparse Horn Antenna Structures at Different Frequencies 16

Comparative Analysis of C/OCGA Sparse Horn Antenna Structure...

引用

16th IEEE international Scientific and Technical conference Actual problems of Electronic Instrument Engineering, APEIE 2023

作者： Nguyen, Manh Tuan Alhaj Hasan, Adnan F. Gazizov, Talgat R. Department of Television and Control Tomsk State University of Control Systems and Radioelectronics Tomsk Russia

ISBN: (纸本)9798350330885

Currently, the research and development of novel antennas that offer reduced mass and size compared to conventional antennas while maintaining high performance is a significant objective. Particularly in wideband applications, meeting complex requirements to achieve these goals is crucial. The optimal current grid approximation and its modified version for wire-grid antennas show great promise in generating sparse antennas with controlled design integrity characteristics while minimizing mass. These approximation approaches offer the advantage of reducing resource requirements and enabling precise control of antenna characteristics in future modeling. However, it is essential to consider that as the frequency changes, the current distribution across the grid wires varies, resulting in different sparse structures after applying these approaches. This paper focuses on thoroughly investigating and comparing the performance of the obtained sparse antenna structures within the antenna operating frequency band. The study applies these approaches to a model of a 3D printed perforated horn antenna designed for X-band operation. Sparse structures obtained at three key frequencies in the antenna bandwidth (8, 10, and 12 GHz), are used. The paper extensively discusses the advantages and limitations of these sparse structures, providing valuable recommendations for selecting the most appropriate one for specific applications. By understanding the performance differences of sparse antennas at different operating frequencies, this research aims to enhance the efficiency of sparse antenna design. © 2023 IEEE.

关键词： Horn antennas

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Nonlinear control Methods for complex Plants under Uncertain Conditions 26

Nonlinear Control Methods for Complex Plants under Uncertain...

引用

26th international conference on Soft Computing and Measurements, SCM 2023

作者： Kuznetsov, Anton A. Sheludko, Viktor N. Putov, Viktor V. Rusyaeva, Tat'Jana L. Khanh, Nguyen Zui Saint Petersburg Electrotechnical University LETI St. Petersburg Russia

ISBN: (纸本)9798350322484

The paper deals with the problems of control system synthesis for nonlinear underdetermined plant, reduced to a lower triangular form and parameterized with respect to the vector of unknown parameters. Nonlinear adaptive control systems are developed and studied, synthesized on the basis of adaptive integrator bypass methods with redundant parametrization and using tuning functions. At the same time, in each of the methods, the expressions of derivatives of virtual controls calculated at each step, are replaced by their filtered counterparts. A comparative study of the developed adaptive systems based on a mathematical model of a generalized parametrized third-order nonlinear plant is carried out using the Matlab Simulink program packages. © 2023 IEEE.

关键词： Simulink

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problems of Equipment control in Automatic Information-measuring control systems 5

Problems of Equipment Control in Automatic Information-measu...

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5th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2023

作者： Yurkov, Nikolay Kondratjevich Kochegarov, Igor Ivanovich Grishko, Alexey Konstantinovich Rybakov, Ilya Mihailovich Penza State University Department Construction and the Production of Radio Equipment Penza Russia

ISBN: (纸本)9798350309126

Conclusions about the technical condition of automation equipment are made based on the results of measuring and monitoring a number of parameters that determine the performance of automation equipment and the system as a whole. Monitoring includes performance monitoring, diagnostics and other types of monitoring. Performance monitoring is carried out regularly when preparing automation equipment and entire systems for use (start-up), during maintenance and repair, as well as during storage. The main task is to determine the technical condition of the entire automation system. During the verification process, settings and adjustments are made. Diagnostic testing of automation or automation systems is carried out in order to identify malfunctions and determine their causes. One of the most important tasks of diagnostic control is the selection of a fault finding strategy (program) in such a way as to minimize the time required to detect faulty elements. Troubleshooting programs vary depending on the method used. The most common are item sequential testing, sequential group testing, and combination testing. Hydroponics is a method of growing plants in a medium containing inorganic nutrients or a nutrient solution, without the use of soil. Hydroponic controller control system design enables automation through remote monitoring and control using various microcontrollers, sensors and networking technologies using the Internet to transmit and receive information from objects and devices. Such systems receive input data from sensors and provide control actions to maintain various parameters within specified ranges. These systems are very economical, and most importantly, they are fully automated and do not require human intervention after placing sprouted plants in the system. Automatic control makes plant selection easier. There is also the aspect of creating a system that can be used by the average consumer. This means that the project will be relatively small and easy t

关键词： Hydroponics

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Microservices Crowdsourcing Platform for Industrial control systems 6

Microservices Crowdsourcing Platform for Industrial Control ...

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6th international conference on Next Generation Data-Driven Networks, NGDN 2024

作者： Wang, Han Peng, Xinyong Zhang, Haifeng Su, Jie Wang, Huiyong Li, Chunhai Guilin University of Electronic Technology College of Computer and Information Security Guilin China Guangxi Zhuang Autonomous Region Information Center Guangxi Key Laboratory of Digital Infrastructure Guilin China Guangxi Liugang Dongxin Technology Co. Ltd Guilin China Guilin University of Electronic Technology College of Information and Communication Guilin China

ISBN: (纸本)9798350388374

With the wide application of microservice architecture in industrial control systems, more and more security problems arise, such as unauthorized access and data leakage. For the generation of these problems, industrial control crowdsourcing testing is an effective solution. Therefore, this paper designs an industrial control crowdsourcing test platform based on microservice architecture. The enterprise-level microservice technology framework ensures the reliability of the architecture. At the same time, a microservice aggregation algorithm is introduced, which greatly reduces the time-consuming microservice subscription operations and improves the reuse rate of microservices through the secondary aggregation of microservices. In the experiments, this paper compares and analyses the performance of the microservice architecture integrated with the EMQX (Erlang MQTT X) framework, and the results show that the architecture performs well in terms of system response, and the stress test of 1,000 concurrent requests, the response time of the traditional architecture is in 1,400 milliseconds, while that of the microservice architecture is within 700 milliseconds, and the architecture of this paper improves the response speed and reliability of the overall architecture. It can be applied to various complex industrial IoT scenarios. © 2024 IEEE.

关键词： Crowdsourcing

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