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检索条件"任意字段=6th International Conference on the Art, Science, and Engineering of Programming, Programming 2022"

共 1074 条记录，以下是51-60 订阅

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Multi-agent Scheduling for Shared Manufacturing Systems 6

Multi-agent Scheduling for Shared Manufacturing Systems

引用

6th international conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Duran, Ege Ozturk, Cemalettin O'Sullivan, Barry SFI Centre for Research Training in AI School of Computer Science IT University College Cork Ireland Department of Process Energy & Transport Engineering Munster Technological University Cork Ireland Insight SFI Research Centre for Data Analytics School of Computer Science & IT University College Cork Ireland

Advances in digitization and resource-sharing business models have created new opportunities for manufacturing companies, enhancing competitiveness and resilience. However, these benefits bring computational challenges in efficiently planning and scheduling shared resources. therefore, there is a need for scalable and quick solutions for practical applications. Shared manufacturing systems share characteristics with parallel machine scheduling, allowing for the application of advancements from this domain. this research focuses on Multi-Agent Parallel Machine Scheduling (MAPMS) in shared manufacturing, specifically addressing scenarios involving two parallel machines and distinct agents managing exclusive, set of non-overlapping orders. the study introduces a novel multi-objective mixed integer programming (MIP) model for order scheduling across multiple facilities, accounting for sequence-dependent setup times between orders. It also proposes a new heuristic method designed for industrial use. Benchmark instances demonstrate the practicality of both the MIP model and heuristic, contributing valuable insights into MAPMS challenges in shared manufacturing environments. © 2025 the Authors.

关键词： Mixed-integer linear programming

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Secure Consensus Control for Positive Semi-Markovian Jumping Multi-Agent Systems with Random Packet Losses 6

Secure Consensus Control for Positive Semi-Markovian Jumping...

引用

6th international conference on Robotics, Control and Automation engineering, RCAE 2023

作者： Zhang, Suhuan Zhu, Fanglai Xu, Haichuan Shi, Tianbiao College of Electronics and Information Engineering Tongji University Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai China

ISBN: (纸本)9798350315301

this paper addresses leader-following secure consensus control problem for multi-Agent systems subject to positive constraints and random packet losses. Firstly, a random packet loss model is established by employing a Bernoulli distribution. By using the copositive Lyapunov function and linear programming technique, the positivity and positive consensus of the multi-Agent system are guaranteed. Furthermore, the randomly occurring deception attack is considered, and then the distributed control protocol is proposed to ensure the positivity and positive consensus of the closed system. Finally, a simulation example is given to verify the effectiveness of the developed controller design approach. © 2023 IEEE.

关键词： Multi agent systems

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Linear programming-Based Consensus of T-S Fuzzy Positive Multi-Agent Systems 6

Linear Programming-Based Consensus of T-S Fuzzy Positive Mul...

引用

6th IEEE international conference on Pattern Recognition and artificial Intelligence, PRAI 2023

作者： Yu, Chongxiang Yu, Chao Zhang, Junfeng Huang, Mengxing Hainan University School of Information and Communication Engineering China

ISBN: (纸本)9798350325485

this paper presents a novel consensus for directed T-S fuzzy positive multi-Agent systems in terms of observer-based control protocols. First, a directed graph is used to model the communication topology of T-S fuzzy positive multi-Agent systems. Second, a positive observer is designed for the considered systems. then, a control protocol is constructed based on the designed observer. A matrix decomposition approach is introduced to design the corresponding protocol gains. By using co-positive Lyapunov functions and linear programming, the positivity and consensus of T-S fuzzy positive multi-Agent systems are achieved. Finally, one simulation example is provided to illustrate the validity of the presented results. © 2023 IEEE.

关键词： Multi agent systems

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Augmented Lagrangian Method for Linear programming Using Smooth Approximation 6th

Augmented Lagrangian Method for Linear Programming Using Sm...

引用

6th international conference on Dynamics of Information Systems, DIS 2023

作者： Moosaei, Hossein Ketabchi, Saeed Syed, Mujahid N. Bazikar, Fatemeh Department of Informatics Faculty of Science Jan Evangelista Purkyně University Ústí nad Labem Czech Republic Department of Applied Mathematics Faculty of Mathematical Sciences University of Guilan Rasht Iran Department of Industrial and Systems Engineering Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals KSA Dhahran31261 Saudi Arabia Department of Computer Science Faculty of Mathematical Sciences Alzahra University Tehran Iran

ISBN: (纸本)9783031503191

the augmented Lagrangian method can be used for finding the least 2 - norm solution of a linear programming problem. this approach’s primary advantage is that it leads to the minimization of an unconstrained problem with a piecewise quadratic, convex, and differentiable objective function. However, this function lacks an ordinary Hessian, which precludes the use of a fast Newton method. In this paper, we apply the smoothing techniques and solve an unconstrained smooth reformulation of this problem using a fast Newton method. Computational results and comparisons are illustrated through multiple numerical examples to show the effectiveness of the proposed algorithm. © 2024, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Newton-Raphson method

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ECOA: An Enhanced Crayfish Optimization Algorithm for Real-World engineering Problems 6

ECOA: An Enhanced Crayfish Optimization Algorithm for Real-W...

引用

6th international conference on Communications, Information System and Computer engineering, CISCE 2024

作者： Yuan, Panliang Li, Shaobo Liao, Zihao Guizhou Institute of Technology Guiyang550008 China Guizhou University State Key Laboratory of Public Big Data Guiyang550025 China

ISBN: (纸本)9798350353174

the Crayfish Optimization Algorithm (COA) is a new metaheuristic algorithm that has been proposed in recent years. While it has a strong local search ability, its global search ability is weak. this paper presents an improved version called ECOA. Firstly, a novel scaling factor is introduced into lens imaging learning to enhance the diversity of the population. Secondly, a dynamic convergence curve is proposed, which broadens the search range and accelerates the convergence speed. thirdly, a novel feeding strategy is proposed to enhance the local optimization ability of the algorithm. the performance of ECOA is demonstrated through the reducer design problem. the results show that the proposed algorithm has better global search ability and local search ability than the other four state-of-the-art metaheuristic algorithms. © 2024 IEEE.

关键词： Optimization algorithms

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Energy-Aware Blocking Hybrid Flow Shop Scheduling Problem with Sequence-depend Setup Times and Machine Speed Levels 6

Energy-Aware Blocking Hybrid Flow Shop Scheduling Problem wi...

引用

6th international conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Missaoui, Ahmed Ozturk, Cemalettin O'Sullivan, Barry Insight Centre for Data Analytics University College Cork Ireland Process Energy and Transport Engineering Munster Technological University Cork Ireland

the industry sector has the second largest energy demand after electricity generation. Given the high trend of energy prices, scarcity of its supply due to political instability and dependency on fossil fuels for its production makes energy the primary challenge for the manufacturing sector to stay competitive. therefore, in addition to novel equipment technologies that use less energy, energy-efficient scheduling has also been a priority for manufacturing companies. In this study, the Hybrid Flowshop Scheduling Problem with Blocking Constraints and Sequence-Depend Setup Times (BHFS-SDST) is investigated for the minimization of makespan and total energy consumption (TEC). First, a novel bi-objective Mixed Integer Linear programming (MILP) model is formulated and solved through augmented epsilon constraints. then, a novel multi-objective approach based on Iterated Greedy meta-heuristic is developed for larger instances. Efficiency and the scalability of the proposed approaches are tested with small, medium, and large instances. Computational experiments show the effectiveness of developed methods in solving the BHFS-SDST problem. © 2025 the Authors.

关键词： Mixed-integer linear programming

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Research on Joint Optimization of Single Train's Delay Reduction and Energy-Saving Operation Trajectory 6

Research on Joint Optimization of Single Train's Delay Reduc...

引用

6th international conference on Industrial artificial Intelligence, IAI 2024

作者： Zhang, Yunjia Cui, Dongliang Li, Jianming Gao, Feng Zang, Haijun Dai, Xuewu Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China China Railway Shenyang Group Co. Ltd Tongliao Logistics Center Shenyang110000 China China Railway Shenyang Group Co. Ltd Dispatching Office Shenyang110000 China Northumbria University Department of Mathematics Physics and Electrical Engineering Newcastle upon TyneNE1 8ST United Kingdom

ISBN: (纸本)9798350356618

this study focuses on optimizing urban rail transit operations during emergencies, aiming to reduce train traction energy consumption and expedite delay recovery by jointly optimizing arrival/departure times at each station and the operational trajectory between stations. A 3D STS (Space-Time-Speed) network is created to merge macroscopic train timetable scheduling with microscopic train operation trajectory optimization. By appropriately setting dimension resolutions, the system approximates the train's position, speed, and acceleration, transforming the complex train operation problem into a more manageable path planning challenge. Propose dual objectives: minimize net traction energy and delay time, aiming to reduce overall train operating costs and delays. Weighted summation combines objectives into a single nonlinear optimization. Dynamic programming then tackles the transformed path planning problem. the simulation results of Beijing Yizhuang Line show that while delay increases energy consumption, judicious selection of train operation trajectory can significantly reduce the energy consumption of the train. Factoring in energy consumption yields a 15.43% reduction compared to disregarding it, ensuring more efficient energy use without disrupting normal train operations. © 2024 IEEE.

关键词： Dynamic programming

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Supporting Autonomic Computing via BDI Tooling 5

Supporting Autonomic Computing via BDI Tooling

引用

5th IEEE international conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2024

作者： Baiardi, Martina Alma Mater Studiorum - Università di Bologna Department of Computer Science and Engineering Cesena Italy

ISBN: (纸本)9798350389760

In this abstract, we briefly discuss the relationship between Agent-Oriented software engineering, with special attention to the Belief-Desire-Intention paradigm, and the world of autonomic computing. Although these two worlds seem on paper to be complementary, in the sense that BDI sounds like a highly effective paradigm to implement autonomic systems, in practice, they are not widespread as technological choices in the community. We argue that the reason is mostly related to the current state of the tooling rather than the paradigm, and we propose a novel approach to build tools for BDI agent-oriented programming that could ease adoption in the autonomic and self-organising systems community. © 2024 IEEE.

关键词： Software agents

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A Deep Neural Network Based Method for Predicting Active Transmission Constraints in SCUC 6

A Deep Neural Network Based Method for Predicting Active Tra...

引用

6th international conference on Power and Energy Technology, ICPET 2024

作者： Haolin, Tang Lin, Chenhui Wu, Wenchuan Yuan, Qihai Department of Electrical Engineering Tsinghua University Beijing China NARI Group Beijing Kedong Power Control System Co. Ltd Beijing China

ISBN: (纸本)9798350375855

Security-Constrained Unit Commitment (SCUC) stands as a critical challenge within power systems. With the continual expansion of power networks, SCUC encounters substantial hurdles in terms of computational time. In practical scenarios, given the imperative of electricity market clearance, this dilemma necessitates frequent resolution throughout the day despite minor alterations in input data. In this study, leveraging machine learning techniques, we present an approach aimed at harnessing previous data effectively to forecast active constraints, thus expediting solutions to the SCUC problem. We introduce a novel methodology for generating training data to predict the active transmission constraint set, ensuring the trained model achieves full prediction coverage. through extensive computational simulations, our approach demonstrates a remarkable acceleration in computation speed, achieving up to 8 times the efficiency in large-scale scenarios. © 2024 IEEE.

关键词： Mixed-integer linear programming

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FVscan: On-Chain Scanner for Function Visibility Vulnerability in Move Smart Contracts 6

FVscan: On-Chain Scanner for Function Visibility Vulnerabili...

引用

6th international conference on Frontier Technologies of Information and Computer, ICFTIC 2024

作者： Wang, Yuxiao Qu, Haipeng Ocean University of China College of Information Science and Engineering Qingdao China

ISBN: (纸本)9798331541750

Function visibility vulnerability is one of the most important issues in blockchain and smart contract security as it allows attackers to easily gain access to huge amounts of digital assets. Move is a security-focused smart contract programming language adopted by blockchain projects with large market capitalization like Aptos and Sui. To reduce the possibility of developers incorrectly defining privileged functions to be accessed by anyone, Move makes function visibility private by default. However, Move's prevention of function visibility vulnerability has limitations and its complex function visibility definition specification increases the security risk. this paper analyzes the function visibility vulnerability in Move from the perspective of principle and real-world example, showing that function visibility vulnerability still exists in Move. To address this issue, we propose FVscan, a tool designed to detect incorrect function visibility definitions in on-chain Move smart contracts. We conducted a 24-hour experiment using FVscan on the Aptos and Sui mainnet and found a total of 1,850 functions with incorrect visibility definitions. Evaluation results show that FV scan is effective in detecting function visibility definition. © 2024 IEEE.

关键词： Smart contract

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