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Automated Functional Coverage for a Digital System Based on a Binary differential evolution algorithm

Automated Functional Coverage for a Digital System Based on ...

1st BRICS Countries Congress on Computational Intelligence / 11th Brazilian Congress on Computational Intelligence (BRICS-CCI and CBIC)

作者： Martinez Cruz, Alfonso Barron Fernandez, Ricardo Molina Lozano, Heron IPN CIC Mexico City 07738 DF Mexico

ISBN: (纸本)9781479931941

Within functional verification of digital systems there are dynamic methods based on Device Under Verification simulation. We focus on this type of method using functional coverage points. Nowadays, the main problem consists in obtaining high values to exercise all functional coverage points in the device. In this paper we propose a heuristic dynamic verification method based on a Binary differential evolution algorithm to obtain sets of vectors that maximize the functional coverage percentage in a synchronous First Input-First Output (FIFO) memory. The experimental results show that using this evolutionary technique with a relatively small population size, high functional coverage values were obtained. Despite the difficulty in exercising a greater amount of coverage points, we observed that the method obtains higher values than ninety percent in different scenarios.

关键词： differential evolution algorithm Directed Functional Verification Coverage Points Coverage Percentage Digital System

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Null Synthesis of Time-Modulated Circular Antenna Arrays Using an Improved differential evolution algorithm

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IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS 2013年 12卷 817-820页

作者： Guney, Kerim Basbug, Suad Nuh Naci Yazgan Univ Dept Elect & Elect Engn TR-38040 Kayseri Turkey Nevsehir Univ Vocat Sch Dept Comp Programming TR-50300 Nevsehir Turkey

An efficient variant of differential evolution (DE) algorithm, namely subpopulated differential evolution (subDE), is proposed for solving null synthesis problems of time-modulated circular antenna arrays by controlling time intervals and phases. The capabilities of subDE algorithm are examined by comparing its convergence curves and number of successful optimizations to those of the classical DE. Wilcoxon rank-sum test is also applied to ensure that the results are significant in terms of statistics. Furthermore, the antenna array parameters achieved by using subDE are compared to those of the classical DE in the literature. The results show that subDE can exhibit better performance than the classical DE for our antenna array synthesis examples. Additionally, the simulations are executed on an embedded microprocessor to investigate if subDE can also run on such a limited environment. The results demonstrate that the contemporary embedded systems hold promise for evolutionary algorithms.

关键词： differential evolution algorithm embedded systems null synthesis time-modulated circular antenna arrays

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Innovative SVM optimization with differential gravitational fireworks for superior air pollution classification

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SCIENTIFIC REPORTS 2024年第1期14卷 1-28页

作者： Bian, Chao Huang Guangqiu Xian Univ Architecture & Technol Xian 710055 Peoples R China Yinchuan Inst Sci & Technol Yinchuan Ningxia Peoples R China

Amid escalating tension between environmental conservation and economic development, the imperative to enhance air quality has become increasingly urgent. This study elucidates a sophisticated approach for the assessment and remediation of air pollution issues through the integration of an enhanced particle swarm optimization algorithm and a differential gravitational fireworks algorithm-optimized support vector machine (SVM). In the initial phase of this research, a series of intricate data preprocessing and augmentation procedures were conducted, and the differential evolution algorithm played a pivotal role. The differential gravitational fireworks algorithm was subsequently introduced to optimize the SVM parameter settings, thereby bolstering classification accuracy and mitigating issues such as overfitting. Through rigorous and meticulous empirical testing, the augmented SVM model demonstrated notable performance in terms of classification accuracy and sequential and nonsequential data fusion, surpassing conventional SVM techniques. Notably, our sequential fusion method achieved an accuracy of up to 91%, at least 3% higher than that of nonsequential techniques. In conclusion, this study reveals an innovative and enhanced technological approach that is highly effective for the precise measurement and control of air pollution levels.

关键词： differential evolution algorithm Gravitational fireworks algorithm Support vector machine (SVM) Sequential data fusion Air quality classification Optimization techniques

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UNCREWED BOAT PATH PLANNING algorithm BASED ON evolutionARY POTENTIAL FIELD MODEL IN DENSE OBSTACLE ENVIRONMENT

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SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2024年第3期25卷 1773-1780页

作者： Zheng, Wei Huang, Xin Nanyang Normal Univ Sch Comp Sci & Technol Nanyang 473061 Henan Peoples R China Henan Res Ctr Serv & Guarantee Intelligent Emergen Nanyang 473061 Henan Peoples R China

In the trajectory planning of crewless ships, the artificial potential field method is commonly used. The results obtained using the classic potential field model for path design are not optimal and cannot fully meet the trajectory design requirements of uncrewed ships. This paper uses the evolutionary potential field model for trajectory planning. The evaluation formula of the potential path is combined with the differential evolution algorithm to evaluate and optimize the potential. A quadratic optimization smoothing algorithm is designed to limit the maximum turning angle of the uncrewed ship. Simulation experiments show that this method is effective and reliable.

关键词： Uncrewed boat Path planning Potential modeling differential evolution algorithm Track optimization Maxi- mum turning angle limit

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Hybrid arithmetic optimization algorithm for a new multi-warehouse joint replenishment and delivery problem under trade credit

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NEURAL COMPUTING & APPLICATIONS 2023年第10期35卷 7561-7580页

作者： Peng, Lu Wang, Lin Wang, Sirui Wuhan Univ Technol Sch Management Wuhan 430070 Hubei Peoples R China Huazhong Univ Sci & Technol Sch Management Wuhan 430074 Hubei Peoples R China

Trade credit is a significant form of short-term financing in the real business situation. This study proposes a practical multi-warehouse joint replenishment and delivery (MJRD) problem under trade credit in accordance with the realistic situation. The goal of the MJRD is to find the reasonable basic replenishment cycle time, the joint replenishment frequency, the delivery frequency, and the assignment information of suppliers to minimize the total cost. Five intelligent algorithms, which include a differential evolution algorithm, genetic algorithm, adaptive hybrid differential evolution algorithm, arithmetic optimization algorithm (AOA), and hybrid arithmetic optimization algorithm (HAOA), are designed to find a solution to this MJRD problem under trade credit. The results of several experiments show that HAOA is effective in solving the proposed MJRD. Compared with AOA, the best improvement is 46.66%. HAOA is a satisfactory algorithm for the proposed MJRD under trade credit.

关键词： Joint replenishment and delivery problem Trade credit Arithmetic optimization algorithm differential evolution algorithm Genetic algorithm

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Optimization design of two-layer Walker constellation for LEO navigation augmentation using a dynamic multi-objective differential evolutionary algorithm based on elite guidance

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GPS SOLUTIONS 2023年第1期27卷 26页

作者： Deng, Zhongliang Ge, Wenxiao Yin, Lu Dai, Shisheng Beijing Univ Posts & Telecommun Sch Elect Engn Beijing Peoples R China

In recent years, low earth orbit navigation augmentation (LEO-NA) has attracted increasing attention and is expected to become a new addition to global navigation satellite systems (GNSSs). When solving complex constellation design problems, traditional optimization algorithms often fail to achieve satisfactory results and are sensitive to parameter settings. We propose a dynamic multi-objective differential evolutionary algorithm based on elite guidance (DMODE-EG). It can select the evolutionary strategy based on the evolutionary state reflected by elite individuals and dynamically modify evolution parameters. Moreover, to achieve more uniform global coverage, we construct a two-layer Walker constellation model for LEO-NA. Then, we use the DMODE-EG algorithm to solve the corresponding multi-objective optimization problem and obtain the optimal constellation parameters. With the augmentation of this LEO-NA constellation to the BeiDou-3 system, the average position dilution of precision (PDOP) values drop to 1.2-2.0 from 1.5-5.5, and the number of visible satellites increases from 8-10 to 13-18. By contrast, some realistic LEO constellations and constellations designed by other algorithms bring weaker improvements and cannot address the problem of high PDOP values in some regions. In addition, simulation results on standard test sets verify the excellent convergence and stability of the DMODE-EG algorithm.

关键词： LEO constellation Navigation augmentation Multi-objective optimization differential evolution algorithm

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Railway Alignment Optimization Based on Multiobjective Bi-Level Programming Considering Ecological Impact

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2023年第2期24卷 1712-1726页

作者： Yang, Dongying Yi, Sirong He, Qing Liu, Dewei Wang, Yifeng Chengdu Univ Technol Coll Comp Sci & Cyber Secur Dept Artificial Intelligence Chengdu 610059 Peoples R China Southwest Jiaotong Univ Sch Civil Engn Key Lab High Speed Railway Engn Minist Educ Chengdu 610000 Peoples R China Shudao New Railway Syst Grp Co Ltd Chengdu 610000 Peoples R China

Railway projects frequently pass through ecologically fragile regions and result in various ecological damages. The railway alignment determining the layout of structures plays an important role in ecological protection. This paper presents a railway alignment optimization model based on multiobjective bi-level programming (MBRAO). The upper level of MBRAO is a horizontal alignment optimization for the minimization of investment and ecological impacts from tunnel drainage and train noise. A multiobjective evolutionary algorithm based on decomposition (MOEA/D) solves the horizontal alignment optimization and naturally maintains population diversity. The lower level of MBRAO is a vertical alignment optimization for investment minimization. A self-adaptive differential evolution (DE) algorithm adjusting essential parameters based on optimization status solves the vertical alignment optimization efficiently. MBRAO is applied in multistage at both levels to find the suitable numbers of horizontal and vertical points of intersection. This paper introduces three kinds of vertical feature data generated corresponding to horizontal feature data to define different site modification costs on the bridge, subgrade, and tunnel structures. A real-world case study at Wolong Reserve is studied to verify the effectiveness of MBRAO based on a customized geographic information system (GIS).

关键词： Railway alignment multiobjective optimization ecological impact differential evolution algorithm GIS

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Transient skin effect in highly dynamic induction motor drives: energy-optimized design

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ELECTRICAL ENGINEERING 2023年第2期105卷 1015-1024页

作者： Zhang, Yuanpeng Peng, Hujun Hofmann, Wilfried Sachsenwerk GmbH VEM Grp VEM Pirnaer Landstrasse 176 D-01257 Dresden Germany Rhein Westfal TH Aachen Inst Elect Machines Schinkelstrasse 4 D-52062 Aachen Germany Tech Univ Dresden Inst Elect Power Engn Helmholtzstrasse 9 D-01069 Dresden Germany

Highly dynamic induction motor drives require converter-driven low-inertia induction machines, which are continuously operated with high torque dynamics to accelerate and brake linear or rotating masses in a highly dynamic manner. However, every rapid change in the torque requires a correspondingly rapid change in the rotor current, which leads to the excitation of the transient skin effect in the massive rotor bars of squirrel cage motors. The additional eddy current losses resulting from the transient skin effect can cause overheating problems, especially in the case of deep rotor bars with fast load cycles. This paper is intended to show the reader how the additional rotor losses caused by the transient skin effect can be reduced through the design optimization procedure. At the same time, the other operating characteristics of the induction motor drive are not impaired. In addition, the moment of inertia of the drive motor can also be reduced as another optimization target by the multi-objective optimization process. As the underlying optimization algorithm, the differential evolution and the particle swarm optimization are implemented and compared with each other in order to verify the correctness of the optimization results. During the whole optimization work, great importance is attached to the interdisciplinary calculation method so that the interaction between the electromagnetic, thermal, fluid mechanical and control engineering processes can be taken into account through the coupled calculation. In the end, the theoretical and simulative findings are verified with two test benches.

关键词： Transient skin effect Eddy current losses High torque dynamic Induction motor drives Deep rotor bars Loss minimization Load cycle efficiency Low moment of inertia Multi-objective optimization differential evolution algorithm Particle swarm optimization Coupled multi-physics calculation

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Training Multilayer Perceptron Using differential evolution algorithm for Signature Recognition Application

Training Multilayer Perceptron Using Differential Evolution ...

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21st Signal Processing and Communications Applications Conference (SIU)

作者： Yilmaz, Ali Riza Yavuz, Oguzhan Erkmen, Burcu Yildiz Teknik Univ Elekt & Haberlesme Muhendisligi Bolumu Istanbul Turkey

ISBN: (纸本)9781467355636;9781467355629

In this work, multilayer perceptron (MLP) has been trained by differential evolution algorithm (DEA) and the performance of the neural network has been analyzed by using high-dimensional and non-linear signature recognition data base. DEA, which doesn't depend on the initial weight values and doesn't stick in local minimums, carries out the global optimization. The performance of the DGA which is the heuristic algorithm to training of the network has been compared to the performance of the error back-propagation algorithm (EBPA) based on gradient. Simulation results show that the performance of the training MLP using DEA is outperforms the training MLP using EBPA.

关键词： differential evolution algorithm signature recognition multilayer perceptron

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AN evolutionARY APPROACH TO THE COEFFICIENT PROBLEMS IN THE CLASS OF STARLIKE FUNCTIONS

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ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS 2023年 58卷 568-581页

作者： Jastrzebski, Piotr Lecko, Adam Univ Warmia & Mazury Dept Complex Anal Fac Math & Comp Sci Ul Sloneczna 54 PL-10710 Olsztyn Poland

In this paper, we apply the differential evolution algorithm as a new approach to solve some coefficient problems within Geometric Function Theory. We find sharp bounds for the determinant of the Hankel matrix H-4;1(f) and the determinants of all its sub-matrices for the class of starlike functions, i.e., for the class of all analytic injective functions f in the unit disk D := {z is an element of C : |z| < 1} normalized by f(0) = f'(0) -1 = 0 such that f(D) is a starlike set with respect to the origin. In addition, a relevant conjecture regarding some coefficient functionals related to the Zalcman functional is formulated.

关键词： differential evolution algorithm Hankel determinant starlike function Caratheodory class and Zalcman functional

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