Confirmation of driving principle by weight analysis of Integration Neural Network and extension of deductive approximator by Yoshiharu IWATA, Hidefumi WAKAMATSU

“…Simulation-based optimization often requires many simulations and can be difficult to adapt due to time constraints. …”
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ML-RASPF: A Machine Learning-Based Rate-Adaptive Framework for Dynamic Resource Allocation in Smart Healthcare IoT by Wajid Rafique

“…The framework formulates task provisioning as a joint optimization problem that aims to minimize service latency and maximize delivery throughput. …”
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Backward chained behavior trees with deliberation for multi-goal tasks by Haotian Zhou, Yunhan Lin, Huasong Min

“…In BCBT-D, ICCs act as global constraints on actions to optimize their execution and as global heuristics for selecting optimal actions that can achieve unmet conditions. …”
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Robotic Arm Trajectory Planning Based on Improved Slime Mould Algorithm by Changyong Li, Hao Xing, Pengbo Qin

“…An interpolation curve under the joint coordinate system is constructed by using seven non-uniform B-spline functions, with time and impact force as the optimization objectives and angular velocity, angular acceleration, and angular acceleration as the constraints. …”
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Stabilization of nonlinear safety-critical systems by relaxed converse Lyapunov-barrier approach and its applications in robotic systems by Haoqi Li, Jiangping Hu, Xiaoming Hu, Bijoy K. Ghosh

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Arterial Multi-Path Green Wave Control Model Concurrently Considering Motor Vehicles and Electric Bicycles by Binbin Jing, Fan Yang

“…The presented model is formulated as a mixed integer linear programming problem. The optimization objective of the model is to maximize the sum of the green wave bandwidths for all coordinated paths of each traffic mode on all road segments. …”
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Aircraft Wing Design Against Bird Strike Using Metaheuristics by Vanessa Timhede, Silvia Timhede, Seksan Winyangkul, Suwin Sleesongsom

“…This research aims to design and analyze the impact of bird strikes on wing structures using response surface method and metaheuristics (MHs), which are used to explore various risk minimization and damage mitigation techniques. The optimization problem is the minimization of the maximum von Mises stress of aircraft wing structure against bird strike that is subject to displacement and stress constraints. …”
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A Self-Adaptive Improved Slime Mold Algorithm for Multi-UAV Path Planning by Yuelin Ma, Zeren Zhang, Meng Yao, Guoliang Fan

“…These conditions transform multi-UAV path planning into a complex optimization problem with multiple constraints, significantly reducing the number of feasible solutions and complicating the generation of optimal flight trajectories. …”
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PAS mathematical models to achieve alignment by Monique Arkesteijn

“…The mathematical models are explained for each of the pilots as follows: the model structure (first subparagraph), the model formulas (second subparagraph) and the optimization tool (third subparagraph). Recall, that in step 5 alternatives are generated in two separate ways: A The group of decision makers self-designs alternatives, use the design constraints to test the feasibility of the design alternatives, and use the PFM algorithm to yield an overall preference score of these feasible design alternatives; B The system engineer generates feasible design alternatives and uses the PFM algorithm to find the feasible design alternative with the highest overall preference score. …”
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Entropy-driven multi agent deep reinforcement learning for resilient distribution networks: coordinating MESS and microgrids by Changchun Cai, Fenglu Gan, Yong Cui, Bo Li, Shixi Hou

“…Subsequently, the coordinated optimization problem is formulated as a Markov Decision Process (MDP). …”
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Cooperative Jamming for RIS-Assisted UAV-WSN Against Aerial Malicious Eavesdropping by Juan Li, Gang Wang, Weijia Wu, Jing Zhou, Yingkun Liu, Yangqin Wei, Wei Li

“…The multi-dimensional optimization problem (MDOP) of system security under quality of service (QoS) constraints is addressed by collaboratively optimizing the transmit power (TP) of SNs, the flight trajectories (FT) of the UAV-L, the frame length (FL) of time slots, and the phase shift matrix (PSM) of the RIS. …”
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Integrated Energy Management in Small-Scale Smart Grids Considering the Emergency Load Conditions: A Combined Battery Energy Storage, Solar PV, and Power-to-Hydrogen System by Hossein Jokar, Taher Niknam, Moslem Dehghani, Pierluigi Siano, Khmaies Ouahada, Mokhtar Aly

“…This study emphasizes the advantages of employing DRP and heat tank equations to balance electrical and thermal energy relationships, reduce heat losses, and enable the integration of larger photovoltaic systems to meet thermal constraints, thus broadening the problem’s feasible solution space.…”
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Transition Mechanism Design for Wind Power Participating in Energy Markets by WU Yang, LU Zhilin, ZHU Wenjing, LIU Shuangquan, LENG Yuan, ZHU Xinchun, LIU Mingbo

“…A bi-level programming is employed to model participation in both the medium- and long-term and spot markets. The upper-level problem is to determine the optimal medium- and long-term contract coverage of wind power， with the objective of minimizing government subsidy costs and improving the fairness index of unit generation profits across all types of wind farms. …”
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Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network by Xue WANG, Jing LIU, Jiani SUN, Jizhen ZHANG, Zhihong QIAN

“…In order to solve problems of high power consumption, spectrum shortage and low energy efficiency in the ultra-intensive 5G mobile communication scenario, a resource allocation algorithm based on the maximum energy efficiency for the two-layer heterogeneous cellular non-orthogonal multiple access network was proposed.The original NP-hard optimization problem on the downlink communication link of ultra-dense scene was divided into two subproblem, such as frequency resource allocation and power allocation, which became a deterministic constraint optimization problem.The frequency resource allocation scheme of different user groups was obtained by using base station clustering based on the improved k-means algorithm and users grouping based on spectral clustering algorithm.The fraction of energy efficiency optimization was transformed into a solvable continuous convex optimization problem and power distribution was realized by Dinkelbach method, and the Lagrange multiplier iterative algorithm, respectively.Jointly optimize system energy efficiency in terms of base station clustering, user grouping, resource block allocation and power allocation, which minimized the inter-cluster interference and intra-cluster interference of the base station efficiently.The simulation results show that the proposed algorithm is better on energy efficiency and computational efficiency compared with existing algorithms.…”
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A method for calculating the coverage area of radar network based on Monte Carlo method and its simulation by WANG Yinlong, WANG Dan, MA Juntao, ZHAO Deyong

“…By analyzing the relationship between the joint probability of multiple radars detecting a target and the radar parameters and target distance, the constraints are determined, and the basic idea of Monte Carlo method is used to transform the area calculation problem into a problem of calculating the number of points satisfying the constraints in a plane. …”
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A Heuristic Optical Flow Scheduling Algorithm for Low-Delay Vehicular Visible Light Communication by Zhengying Cai, Shumeng Lei, Jingyi Li, Chen Yu, Junyu Liu, Guoqiang Gong

“…First, the optical flow scheduling problem of VVLC is built as a multi-objective optimization model considering the makespan, delay, schedulable ratio, and bandwidth utilization with non-conflict constraints. …”
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Accelerating Energy-Efficient Federated Learning in Cell-Free Networks With Adaptive Quantization by Afsaneh Mahmoudi, Ming Xiao, Emil Bjornson

“…We formulate a joint optimization problem involving FL model updates, local iterations, and power allocation. …”
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Research on dynamic parameter identification of space hyper-redundant manipulators using iterative WLS-TCS algorithm by ZHANG Wenjun, LI Yi, ZHOU Yufei, ZHANG Haohao, ZHU Mingchao, TANG Bo

“…An iterative WLS-TCS algorithm was proposed to identify the ground dynamics parameters of the space hyper-redundant manipulator, which laid a foundation for obtaining the high-precision dynamic model of the manipulator and the research of space in-orbit dynamic control.MethodsFirstly, the terminal crossover and steering-based particle swarm optimization (TCS-PSO) algorithm was used to design periodic Fourier series satisfying multiple constraints as the optimal excitation trajectory. …”
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UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm by Jong-Jin Shin, Hyochoong Bang

“…An improved particle swarm optimization (PSO) algorithm is proposed for finding an optimal path. …”
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Cooperative Scheduling Strategy of Energy Storage Systems for Regional Grid Supplied by Renewable Energy by Rui MA, Xiangjun LI, Wenqi LI, Dongxue GAO, Jingchao ZHANG, Ningxi SONG

“…With the decrease of fossil energy reserves and the deterioration of natural environment, increasing the proportion of renewable energy in power grid becomes the main goal of power grid development in the future. Considering the constraints of energy storage systems, hydropower station, photovoltaic power station, wind farm and power grid operation, a cooperative scheduling strategy of energy storage systems in the regional power grid with renewable energy was proposed, and an optimal scheduling model was established. …”
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