The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

“…The proposed method's novelty lies in its linear approximation of the SmoothReLU activation function using binary variables, which allowed us to reduce the stability problem to an optimization problem using the mixed integer programming method. …”
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Optimization of drawing scheduling based on mixed integer programming in block cave mining by REN Zhu-li, BI Lin, WANG Li-guan, CHEN Xin

“…A mixed integer programming method was proposed in this paper to solve the optimization problem of drawing scheduling. Taking the ore reserve quantity, ore grade, drawing index and production scheduling index as the constraints and the grade fluctuation as the objective function, a drawing scheduling optimization model was built based on the mixed integer programming method. …”
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A New System Reliability Optimization Model Based on Swapping Existing Components by Yuxiong Li, Xianzhen Huang, Xinong En, Pengfei Ding

“…This paper proposes a new system reliability optimization model to achieve optimal component reliability and the ideal component-swapping strategy under a certain set of constraints. …”
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A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity by Wenda Yang, Minggong Wu, Xiangxi Wen, Kexin Bi

“…Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV swarm trajectory and radiation power. …”
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The effect of generative design and topology optimization on the design and manufacturing of components in additive manufacturing by Omar Lkadi, Mohammed Nassraoui, Otmane Bouksour

“…The case study is a gripper arm which is part of a robot deputed to the handle meteors is presented to demonstrate the application of these methods. additionally, it offers a useful description of Autodesk’s generative design, a software, used in our case, that uses generative design to generate a series of potential solutions to a static structural design problem. the finding reveal how generative design and topology optimization can significantly enhance component performance, reduce mass, and enable complex geometries that are difficult or impossible when using traditional methods. additionally, the paper highlights the importance of taking manufacturability constraints into account during the design process.…”
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An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization by Jing Xiao, Jing-Jing Li, Xi-Xi Hong, Min-Mei Huang, Xiao-Min Hu, Yong Tang, Chang-Qin Huang

“…The results show that MOEA/D_RD and NSGA2 can solve the software project portfolio optimization problem more effectively. For 4-objective optimization problem, MOEA/D_RD is the most efficient algorithm compared with MOEA/D, NSGA2, and NSGA3 in terms of coverage, distribution, and stability of solutions.…”
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Theoretical justification of the model of search for optimal solutions in complex resource management systems by Roman A. Khalturin, Roman O. Sudorgin, Nikita S. Akinshin

“…The classical decision-making approach involves selecting the optimal solution from a set of alternatives formalized through mathematical models representing the problem situation. …”
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A Modified Social Spider Optimization for Economic Dispatch with Valve-Point Effects by Wenqiang Yang, Tingli Cheng, Yuanjun Guo, Zhile Yang, Wei Feng

“…An improved social spider optimization algorithm, namely, ISSO, is proposed in this paper to solve the ED problem with valve-point effects. …”
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Multi-Node Small Radar Network Deployment Optimization in 3D Terrain by Zhiyi Wang, Min Wang, Xinghui Wu, Shuyuan Yang

“…Then, the nondominated sorting genetic algorithm III (NSGA-III) is employed to address this multi-objective optimization problem. Finally, the experimental results demonstrate the superiority of introducing PEM and the effectiveness of NSGA-III.…”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…A two-stage stochastic programming model is formulated based on the attack graph to optimize the allocation of countermeasures under budget constraints considering distinct defense strategies to minimize expected cyber risk. …”
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An Improved Spider Wasp Optimizer for Green Vehicle Route Planning in Flower Collection by Mengxin Lu, Shujuan Wang

“…To this end, this study proposes a green vehicle routing planning model that incorporates multiple factors, such as fixed costs, refrigeration costs, transportation costs, and so on, to minimize the total costs under hard time window constraints. Moreover, a Genetic Neighborhood Comprehensive Spider Wasp Algorithm (GN_CSWA) is proposed to find the solution to this problem. …”
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THE MODIFICATION OF THE RRT ALGORITHM FOR THE OPTIMAL TRAJECTORY DETERMINING OF THE MOTION VEHICLE WITH THE OBSTACLES AVOIDANCE by I. Z. Akhmetzyanov, M. A. Ionov, V. S. Karabcev

“…The problem of planning the motion path of an unmanned vehicle is presented in the article. …”
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Dynamic Multiobjective Optimization Algorithm Based on Average Distance Linear Prediction Model by Zhiyong Li, Hengyong Chen, Zhaoxin Xie, Chao Chen, Ahmed Sallam

“…Many real-world optimization problems involve objectives, constraints, and parameters which constantly change with time. …”
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Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators by Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

“…Evolutionary algorithms, such as genetic algorithms (GAs), have been leveraged for many optimization problems, however, they do not apply to complex control problems by design. …”
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Distributed photovoltaic reactive power control strategy based on improved multiobjective particle swarm algorithm by Hongli Liu, Li Hao, Li Ji, Shao Lei

“…A multiobjective particle swarm algorithm with an adaptive grid and roulette mechanism is introduced to ensure the uniformity and diversity of the Pareto boundaries under the constraint that the output of each device does not exceed the constraints, and to obtain the optimal set of solutions capable of coping with the stochastic fluctuations of distributed power sources. …”
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Thermal-Aware Test Schedule and TAM Co-Optimization for Three-Dimensional IC by Chi-Jih Shih, Chih-Yao Hsu, Chun-Yi Kuo, James Li, Jiann-Chyi Rau, Krishnendu Chakrabarty

“…We used both greedy and simulated annealing algorithms to solve this optimization problem. We compare the results of two assumptions: soft-die mode and hard-die mode. …”
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Research on Multibeam Pattern Synthesis of Time Modulated Array Based on Convex Optimization by Jiawen Hu, Xikuan Dong, Jing Tan, Yachao Jiang, Hailin Li

“…The pattern synthesis problem is divided into two stages. In the first stage, the sequential convex optimization method is used to suppress the sidelobe of the center frequency and reduce the amplitude dynamic range ratios (DRR). …”
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Optimal Allocation and Sizing of Electrical Substations Using an Improved Black Widow Algorithm by Nathan de Oliveira Valim, Clainer Bravin Donadel

“…This study presents the application of an enhanced Black Widow Algorithm (BWA) to solve this complex problem, considering multiple variables and constraints. …”
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Chromaticity-Adaptive Generalized Spatial Modulation for MIMO VLC With Multi-Color LEDs by Ye Xiao, Yi-Jun Zhu

“…Considering power, amplitude and chromaticity constraints, the optimization problem of chromaticity-adaptive constellation is transformed and solved by the linear approximation of Taylor series. …”
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A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…The solution to constrained multi-objective optimization problems (CMOPs) requires optimizing the objective functions while satisfying the constraint conditions. …”
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