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Constrained Probabilistic Pareto Dominance for Expensive Constrained Multiobjective Optimization Problems

IEEE Transactions on Evolutionary computation 2024年 1-1页

作者： Zhang, Zhiyao Wang, Yong Sun, Guangyong Pang, Tong Tang, Ke School of Automation Central South University Changsha China State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha China Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering and the Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China

This paper proposes a new parameterless constraint-handling technique, named constrained probabilistic Pareto dominance (CPPD), for expensive constrained multiobjective optimization problems (CMOPs). In CPPD, when comparing two solutions, in terms of each original objective, we design a new objective for each solution, which is the negative product of two probabilities calculated based on the predicted fitness mean values and the uncertainty information provided by Kriging models: 1) the probability that this solution satisfies all constraints, denoted as PoF, and 2) the probability that this solution is better than the other on the original objective, denoted as PoB. It is evident that for each solution, PoF and PoB indicate its feasibility and its optimality on the corresponding original objective, respectively. Then, Pareto dominance based on new objectives is executed. As a result, both competitive feasible solutions and promising infeasible solutions with good diversity can be preserved by CPPD. These two kinds of solutions can help the population to exploit the located feasible parts and to explore new feasible parts, respectively. Further, based on CPPD, we develop a Pareto-based Kriging-assisted constrained multiobjective evolutionary algorithm (called PEA) to deal with expensive CMOPs with two or three objectives. Finally, PEA is generalized to solve expensive constrained many-objective optimization problems, named PEA+. The effectiveness of CPPD, PEA, and PEA+ is verified by comprehensive experiments. IEEE

关键词： Evolutionary algorithms

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Development of AC Voltage Stabilizer with Microcontroller-Based Control System

Development of AC Voltage Stabilizer with Microcontroller-Ba...

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International computer Sciences and Information Technologies (CSIT)

作者： Andriy Holovatyy Andrzej Łukaszewicz Vasyl Teslyuk Nazariy Ripak Department of Computer-Aided Design Systems Lviv Polytechnic National University Lviv Ukraine Department of Machinery Design and Operation Faculty of Mechanical Engineering Bialystok University of Technology Bialystok Poland Department of Automated Control Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350334326

In the paper, the model and prototype of the AC stabilizer have been developed based on the AVR ATmega328P microcontroller. The block diagram of the device, the electronic circuit and the algorithms of the system operation have been developed. In particular, the algorithm includes software in C in the Arduino IDE. The AC voltage stabilizer is designed using the modular principle, which makes it possible to quickly upgrade. The AC voltage stabilizer makes it possible to maintain the supply voltage on the load within acceptable limits with significant deviations, has the ability to adjust the voltage range of the network to operate the stabilizer, manual adjustment potentiometers.

关键词： Semiconductor device modeling Microcontrollers Systems operation Software algorithms Prototypes Software Voltage control

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Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation

Enhancing Realistic Floating Car Observers in Microscopic Tr...

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International Conference on Intelligent Transportation

作者： Jeremias Gerner Dominik Rößle Daniel Cremers Klaus Bogenberger Torsten Schön Stefanie Schmidtner Department of Electrical Engineering and AImotion Bavaria Technische Hochschule Ingolstadt Ingolstadt Germany Department of Computer Science and AImotion Bavaria Technische Hochschule Ingolstadt Ingolstadt Germany School of Computation Information and Technology Technical University of Munich Garching Germany School of Engineering and Design Technical University of Munich München Germany

We present a system that enables a realistic detection of traffic participants using Floating Car Observers (FCOs) directly within microscopic simulations. Point clouds are utilized to transform the two-dimensional simulation into a three-dimensional environment. In this environment, vehicles can be equipped with up to four camera sensors. Employing computer vision strategies, we identify which traffic participants would be detected by real-world sensor systems. We utilize the resulting system to generate datasets. In this process, various vehicles move within a simulation, recording which traffic participants would be recognized by the approach. Additionally, for each step of the simulation, an image from the current simulation and the position vectors of the traffic participants are documented. We employ the dataset to train neural networks, enabling them to replicate the results achieved using the CV method. The trained Vision Transformer and ResNet architectures achieve accuracies of up to 90%. Compared to the CV approach, the neural networks facilitate as much as 18-fold speed enhancement. We have made the source code, datasets, and trained models openly accessible at: ***/urbanAIthi/SUMO_FCO.

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Availability Audit of IoT System Data Reserved by 3-2-1 Backup Strategy based on Fault Tree and State Transition Diagram Analysis 15

Availability Audit of IoT System Data Reserved by 3-2-1 Back...

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15th IEEE International Scientific and Technical Conference on computer Sciences and Information Technologies, CSIT 2020

作者： Lobur, Mykhaylo Shcherbovskykh, Serhiy Stefanovych, Tetyana Lviv Polytechnic National University Department of Computer-Aided Design Lviv Ukraine Lviv Polytechnic National University Department of Mechanical Engineering Lviv Ukraine

The model for availability audit of data reserved by a 3-2-1 backup strategy is proposed. The model takes into account technical failures and force majeure such as fire, flooding, intruder actions and so on. Fault tre... 详细信息

ISBN: (纸本)9781728174433

关键词： Trees (mathematics)

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Correction to: A new approach to snow avalanche rescue using UAV pictures based on convolutional neural networks

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Journal of Real-Time Image Processing 2023年第5期20卷 1-2页

作者： Zhang, Suyu Gavrilovskaya, Nadezhda Al Said, Nidal Afandi, Waleed Saeed College of Artificial Intelligence Wenzhou Polytechnic Wenzhou China Department of Computer-Aided Design Systems and Engineering Calculations Moscow Timiryazev Agricultural Academy Russian State Agrarian University Moscow Russian Federation College of Mass Communication Ajman University Ajman United Arab Emirates Department of Information System King Abdulaziz University Jeddah Kingdom of Saudi Arabia

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Path synthesis of defect-free spatial 5-SS mechanisms using machine learning

Path synthesis of defect-free spatial 5-SS mechanisms using ...

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ASME 2020 International design engineering Technical Conferences and computers and Information in engineering Conference, IDETC-CIE 2020

作者： Sharma, Shashank Purwar, Anurag Computer-Aided Design and Innovation Lab Department of Mechanical Engineering Stony Brook University Stony Brook New York11794-2300 United States

ISBN: (纸本)9780791883990

The synthesis of spatial mechanisms for defect-free path generation has not received a lot of attention. In this paper, we focus on the synthesis of 5-SS mechanisms and use a machine learning based approach. First, we create a coupler path database using a solver based on the iterative Newton-Raphson optimization algorithm. Subsequently, a data cleanup, normalization, balancing, and augmentation pipeline is established based on intrinsic properties of space curves namely curvature and torsion. Finally, we use an unsupervised learning algorithm based on Variational Autoencoder combined with K-means clustering to find a multiplicity of defect-free 5-SS mechanisms and examples are presented. Copyright © 2020 ASME

关键词： Machine learning

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An image-based approach to variational path synthesis of linkages

An image-based approach to variational path synthesis of lin...

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ASME 2020 International design engineering Technical Conferences and computers and Information in engineering Conference, IDETC-CIE 2020

作者： Deshpande, Shrinath Purwar, Anurag Computer-Aided Design and Innovation Lab Department of Mechanical Engineering Stony Brook University Stony Brook New York11794-2300 United States

ISBN: (纸本)9780791883990

This paper brings together computer vision, mechanism synthesis, and machine learning to create an image-based variational path synthesis approach for linkage mechanisms. An image-based approach is particularly amenable to mechanism synthesis when the input from mechanism designers is deliberately imprecise or inherently uncertain due to the nature of the problem. In addition, it also lends itself naturally to the creation of a unified approach to mechanism synthesis since pixels do not care if they were generated from a four-bar or six-bar. Path synthesis problem has generally been solved for a set of precision points on the intended path such that the designed mechanism passes through those points. This approach usually leads to a small set of over-fitting solutions to the particular precision points. However, most kinematic synthesis problems are concept generation problem where a designer cares more about generating a large number of plausible solutions. This paper models the input curve as a probability distribution of image pixels and employs a probabilistic generative model to capture the inherent uncertainty in the input. In addition, it gives feedback on the input quality and provides corrections for a more conducive input. The image representation allows for capturing local spatial correlations, which plays an important role in finding a variety of solutions with similar semantics as the input curve. Copyright © 2020 ASME

关键词： Deep learning

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Unified motion synthesis of spatial seven-bar platform mechanisms and planar-four bar mechanisms

Unified motion synthesis of spatial seven-bar platform mecha...

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ASME 2020 International design engineering Technical Conferences and computers and Information in engineering Conference, IDETC-CIE 2020

作者： Sharma, Shashank Purwar, Anurag Computer-Aided Design and Innovation Lab Department of Mechanical Engineering Stony Brook University Stony Brook New York11794-2300 United States

ISBN: (纸本)9780791883990

A unified motion generation algorithm that combines Spatial and Planar mechanism synthesis has been a hard problem in kinematics. In this paper, we present a new method to generate planar RRRR mechanisms and spatial 5-SS mechanisms using a unified algorithm. For a generalized spatial pose problem where all the poses fall on a plane, we show that there exist 1-∞ plane constraint solutions and 3-∞ planar-spherical solution dyads. We also show that for a spatial five pose problem where all poses lie on a plane, there exists a 2-∞ solution space of spherical and planar constraints. This multiplicity of solutions are intelligently constrained to find up to four circle constraints representing planar four-bar mechanism. Finally, examples are presented testing the proposed algorithm and verified using results from past publications. Copyright © 2020 ASME

关键词： Mechanisms

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Control of switching the dynamical modes of a memristor based chaotic circuit 4

Control of switching the dynamical modes of a memristor base...

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4th International Conference on Control in Technical Systems, CTS 2021

作者： Ostrovskii, Valerii Y. Zubarev, Alexander V. Rybin, Vyacheslav G. Karimov, Timur I. Department of Computer-Aided Design Saint-Petersburg Electrotechnical University "LETI" St. Petersburg Russia Department of Electrical Engineering Saint-Petersburg Electrotechnical University "LETI" St. Petersburg Russia Youth Research Institute Saint-Petersburg Electrotechnical University "LETI" St. Petersburg Russia

ISBN: (纸本)9781665424547

In this work, we consider complex dynamical phenomena in a modified Chua's circuit with a memristive element, we conduct a number of experiments to control its dynamical modes. The circuit model is represented by a fifth-order nonlinear dynamical system. The dynamical properties of the system are investigated in phase space using diagrams displaying bifurcations and regions of periodic and chaotic regimes. The paper presents a new approach to multistability control based on varying the symmetry coefficient of a semi-implicit finite-difference scheme. The results of numerical analysis confirm the suitability of this approach both for the complete suppression of multistability due to the transition to a fixed point or a single chaotic regime, and for fine tuning with access to the attractor of the required periodicity. © 2021 IEEE.

关键词： Nonlinear dynamical systems

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Swarmodroid 1.0: A Modular Bristle-Bot Platform for Robotic Active Matter Studies

arXiv

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arXiv 2023年

作者： Dmitriev, Alexey A. Rozenblit, Alina D. Porvatov, Vadim A. Buzakov, Mikhail K. Molodtsova, Anastasia A. Sennikova, Daria V. Smirnov, Vyacheslav A. Burmistrov, Oleg I. Karimov, Timur I. Puhtina, Ekaterina M. Olekhno, Nikita A. School of Physics and Engineering ITMO University Saint Petersburg197101 Russia Department of Infocommunication Technologies National University of Science and Technology "MISIS" Moscow119991 Russia Faculty of Science University of Amsterdam Amsterdam1098 XH Netherlands Department of Computer-Aided Design Saint Petersburg Electrotechnical University"LETI" Saint Petersburg197376 Russia

Large swarms of extremely simple robots (i.e., capable just of basic motion activities, like propelling forward or self-rotating) are widely applied to study collective task performance based on self-organization or local algorithms instead of sophisticated programming and global swarm coordination. Moreover, they represent a versatile yet affordable platform for experimental studies in physics, particularly in active matter – non-equilibrium assemblies of particles converting their energy to a directed motion. However, a large set of robotics platforms is being used in different studies, while the universal design is still lacking. Despite such platforms possess advantages in certain application scenarios, their large number sufficiently limits further development of results in the field, as advancing some study requires to buy or manually produce the corresponding robots. To address this issue, we develop an open-source Swarmodroid 1.0 platform based on bristle-bots with reconfigurable 3D-printed bodies, external control of motion velocity, and basic capabilities of velocity profile programming. In addition, we introduce AMPy software package in Python featuring OpenCV-based extraction of robotic swarm kinematics accompanied by the evaluation of key physical quantities describing the collective dynamics. We perform a detailed analysis of individual Swarmodroids’ motion characteristics and address their use cases with two examples: a cargo transport performed by self-rotating robots and a velocity-dependent jam formation in a bottleneck by self-propelling robots. Finally, we provide a comparison of existing centimeter-scale robotic platforms, a review of key quantities describing collective dynamics of many-particle systems, and a comprehensive outlook considering potential applications as well as further directions for fundamental studies and Swarmodroid 1.0 platform development. Copyright © 2023, The Authors. All rights reserved.

关键词： Robot programming

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