Differential analysis of lightweight cipher algorithm ACE based on MILP by Shuai LIU, Jie GUAN, Bin HU, Sudong MA

“…The differential property of the lightweight cipher algorithm ACE was researched.n-dimension ring AND-gate combination was defined and its differential property was described accurately by only O(n) expressions with the MILP method by analyzing the relationship among AND gates.The nonlinear operation of ACE was transformed to the 32-dimension ring AND-gate combination and the MILP differential model of ACE was proposed.According to the characteristics of Gurobi solver, a model for fast solving the MILP differential model of ACE was given.For ACE permutation with 3 to 6 steps, the optimal differential characteristic was obtained and its probability was improved by multi-difference technique.The differential forge attack on authenticated encryption algorithm ACE-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="script">A</mi><mi mathvariant="script">E</mi></math></inline-formula>-128 and the differential collision attack on hash algorithm ACE-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mi mathvariant="script">H</mi></math></inline-formula>-256 was given with 3-step ACE permutation, and the success probability was 2^-90.52.And it was proved that the 4-steps ACE permutation arrived the differential security bound of 128 bit.Actually, the MILP differential description of ring AND-gate combination can be applied on more cipher algorithms, such as SIMON, Simeck.…”
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A Bi-Layer Collaborative Planning Framework for Multi-UAV Delivery Tasks in Multi-Depot Urban Logistics by Junfu Wen, Fei Wang, Yebo Su

“…An improved particle swarm optimization (PSO) algorithm is proposed by integrating chaotic initialization, linearly adjusted acceleration coefficients and maximum velocity, a stochastic disturbance-based position update mechanism, and an adaptively tuned inertia weight to enhance algorithmic performance and path generation quality. …”
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Radio Mean Labeling Algorithm, Its Complexity and Existence Results by Meera Saraswathi, K. N. Meera, Yuqing Lin

“…The existing ILP model does not guarantee that the vertex labels are distinct, positive and satisfy the radio mean condition, prompting the need for an improved approach. …”
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

“…To effectively address the spatial–temporal feature mining problem in short-term traffic flow prediction for complex road networks, a new method that combined the Pearson correlation coefficient (PCC) and improved genetic algorithm to optimize the long short-term memory model (IGA-LSTM) was constructed. …”
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Two-stage robust planning for wind power-photovoltaic-thermal power-pumped storage-battery hybrid system by LUO Yuanxiang, FAN Lidong, WANG Yuhang, LIU Cheng, JIAO Yinghe, WANG Yunlong

“…The improved IEEE30-node system is followed to analyze the economics of the planning scheme under different conservative degrees, and the validity of the proposed model is verified.…”
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A Flexible Interconnected Distribution Network Power Supply Restoration Method Based on E-SOP by Lin Jiang, Canbin Wang, Wei Qiu, Hui Xiao, Wenshan Hu

“…To solve this complex optimization model, an innovative hybrid approach combining the Improved Whale Optimization Algorithm (IWOA) with second-order cone programming is developed. …”
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Mathematical model of on-demand route formation for public transport based on individual passenger requests in low-density population area by Svetlana S. Titova, Andrey V. Ostroukh

“…Various route optimization algorithms were investigated, and the most suitable method was selected for solving the stated problem. …”
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Optimization of the heat recovery performance of enhanced geothermal system based on PSO-GA-BP neural networks and analytic hierarchy process by Ling Zhou, Jingchao Sun, Yanjun Zhang, Yunjuan Chen, Honglei Lei

“…In this study, an innovative combination of numerical simulation, PSO-GA-BPNN model, and Analytic Hierarchy Process was proposed to establish an EGS comprehensive optimization method, effectively improving the accuracy and computational efficiency of scheme optimization. …”
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MGL-YOLO: A Lightweight Barcode Target Detection Algorithm by Yuanhao Qu, Fengshou Zhang

“…Finally, a Lightweight Shared Multi-Scale Detection Head (LSMD) is proposed, which improves the model’s detection accuracy and adaptability while reducing the model’s parameter size and computational complexity. …”
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MTAD: A Multitarget Heuristic Algorithm for Virtual Machine Placement by Lei Chen, Jing Zhang, Lijun Cai, Rui Li, Tingqin He, Tao Meng

“…In order to solve the virtual machine placement problems in large scale, three algorithms are proposed. Firstly, we propose a physical machine (PM) classification algorithm by analyzing pseudotime complexity and find out an important factor (the number of physical hosts) that affects the efficiency, which improves running efficiency through reduction number of physical hosts; secondly, we present a VM placement optimization model using multitarget heuristic algorithm and figure out the positive and negative vectors of three goals using matrix transformation so as to provide the mapping of VMs to hosts by comparing distance with positive and negative vectors such that the energy consumption is saved, resources wastage of occupied PM is lowered, multidimension resource utilization is optimized, and the running time is shortened. …”
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Siting and Sizing Method of GFM Converters Based on Genetic Algorithm by Wentao Sun, Yi Ge, Guojing Liu, Hui Cai, Quanquan Wang, Xingning Han, Wanchun Qi

“…Additionally, a strategic approach to optimal location selection and sizing of these substations aimed at enhancing the SCR within new energy grids is proposed, with the model being solved through genetic algorithms. …”
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NCREASING ECONOMIC PERFORMANCES USING OPTIMIZATION by Daniela-Elena ȘURCĂ

“…The optimization process was accomplished by using a mathematical model of linear programming consisting of variables, constants, constraints and objective function. …”
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Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete grey model by Zirui Zeng, Junwen Xu, Shiwei Zhou, Yufeng Zhao, Yansong Shi

“…Furthermore, the optimal nonlinear parameters are determined by Grey Wolf optimization algorithm to improve the prediction performance, enhancing the model’s predictive performance. …”
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Metaheuristic Algorithms to Determine PID Controller Parameters for Mobile Robots by DINH Quy Long, NGUYEN Tuan Minh, NGUYEN The Dung

“…MATLAB simulation results indicate that metaheuristic algorithms significantly reduce errors and improve stability compared to other methods. …”
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A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms by Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang

“…To verify the effectiveness of these algorithmic improvements, the DTI-YOLO algorithm was tested on a self-made dataset of 2300 ship navigation images. …”
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Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function by Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang

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Detection of Welding Defects Using the YOLOv8-ELA Algorithm by Yunxia Chen, Yangkai He, Lei Wu

“…The model integrates a novel HS-FPN feature fusion module, which optimizes the parameter efficiency and enhances the detection performance. …”
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User preference information recommendation based on DCGNN and GNNPK algorithms by Nannan Cheng, Xiaoyang He

“…Especially when dealing with challenges such as user dynamic preferences, data noise, and cold start, the limitations of these systems become increasingly obvious, and more advanced algorithms are urgently needed to improve the personalization and accuracy of recommendations. …”
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Engineering Quantum Error Correction Codes Using Evolutionary Algorithms by Mark A. Webster, Dan E. Browne

“…Finally, we show that the algorithm can be used to optimize stabilizer codes for biased error models, demonstrating a significant improvement in the undetectable error rate for <inline-formula><tex-math notation="LaTeX">$[[12,1]]_{2}$</tex-math></inline-formula> codes versus the best-known-distance code with the same parameters. …”
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Topology Knapsack Problem for Geometry Optimization by Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao

“…While several variants have been developed, including the 0/1, fractional, and multi-dimensional knapsack problems, no existing model simultaneously optimizes multiple attributes like rarity, importance, and preference alongside the weight and volume of items. …”
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