Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load by Xiao Han, Jingru Ye, Shaoqiang Hou, Wenbin Hou

“…A multi-objective and multi-constraint design optimization problem was formulated to find the optimum key cross-section size and ply thickness of the hat thin-walled beam. …”
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UAV-IRS Assisted Full-Duplex Covert Communication: Joint Optimization of Phase Shift and 3D Trajectory by Pengwu Wan, Xiaolin Dong, Dongrui Chen, Xi Hui, Jin Wang

“…Within this framework, we first derive the minimum detection error probability (DEP) for Eve under the worst-case scenario, where Eve employs the optimal detection threshold. Subsequently, we formulate an optimization problem aimed at maximizing the covert transmission rate while satisfying the covertness constraint by alternately optimizing the IRS phase shifts and the three-dimensional (3D) trajectory of UAV. …”
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Research on the pneumatic-electric braking collaborative control strategy for heavy-haul trains based on heuristic dual-end optimization by ZHANG Zhengfang, SHI Ke, LIU Haitao, WANG Yue, FENG Ling

“…The pneumatic-electric braking operation of heavy-haul trains on long and steep downgrade sections is fundamentally an optimal control problem, involving nonlinear state constraints, control constraints, and long-distance end constraints. …”
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Distributed dynamic event-triggered time-varying resource management for microgrids via practical predefined-time multiagent methods by Tingting Zhou, Salah Laghrouche, Youcef Ait-Amirat

“…To address this problem, a fully distributed predefined-time (PDT) optimization algorithm is developed, incorporating a time-base generator (TBG) to guarantee convergence within a PDT, independently of initial conditions and system parameters. …”
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Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm by Mohamed H. Hassan, Salah Kamel, Francisco Jurado, Umberto Desideri

“…Consequently, several optimization techniques, such as metaheuristics, have been developed in order to address this type of problems. …”
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Bi-Level Collaborative Optimization for Medical Consumable Order Splitting and Reorganization Considering Multi-Dimensional and Multi-Scale Characteristics by Peng Jiang, Shunsheng Guo, Xu Luo

“…Subsequently, to solve this bi-level optimization problem, a hybrid bi-objective optimization algorithm is designed, integrating a collaborative iterative strategy to enhance solution efficiency and quality. …”
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A novel FFA‐GWO‐based optimization paradigm for solving a dynamic economic emission dispatch in power plants by Raheel Chan Zab Mughal, Usman Nawaz, Saghir Ahmed, Sidra Mumtaz, Muhammad Waseem, Ahmed Mohammed Saleh

“…Hence, for obtaining an optimal or near‐optimal solution to such a complex problem, a metaheuristic technique is greatly needed. …”
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A new multi objective optimization model for designing a green supply chain network under uncertainty by Mohammad Mahdi Saffar, Hamed Shakouri G., Jafar Razmi

“…The fuzzy programming converts the multi objective model to an auxiliary crisp model by Jimenez approach and solves it with ε-constraint. For solving large size problems, the Multi Objective Differential Evolutionary algorithm (MODE) is applied.…”
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Two-Stage Stochastic Optimal Voltage Control of High-Proportional Photovoltaic Distribution Networks Considering Auxiliary Power to Hydrogen by Yajian ZHANG, Ci CHEN, Fei XUE, Li MA, Min ZHENG

“…To address the problems such as limited regulation resources, high regulation costs, and slow response speed in traditional distribution network voltage control methods, a two-stage stochastic optimal control strategy with participations of power-to-hydrogen (P2H) devices is investigated. …”
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Ultrahigh-Dimensional Model and Optimization Algorithm for Resource Allocation in Large-Scale Intelligent D2D Communication System by Minxin Liang, Jiandong Liu, Jinrui Tang, Ruoli Tang

“…In this study, the D2D resource allocation is modelled as an ultrahigh-dimensional optimization (UHDO) problem with thousands of binary dimensionalities. …”
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Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization by Kaiwei Zhang, Yange Lin, Guangcheng Wu, Yuxiang Ren, Xuecang Zhang, Bo Wang, Xiao-Yu Zhang, Weitao Du

“…In this article, we present an innovative approach to tackle this inverse design problem by formulating it as a multi-modality guidance optimization task. …”
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A Distributed Model Predictive Control Approach for Virtually Coupled Train Set with Adaptive Mechanism and Particle Swarm Optimization by Zhiyu He, Zhuopu Hou, Ning Xu, Dechao Liu, Min Zhou

“…Particle swarm optimization (PSO) is employed to solve the non-convex optimization problem globally. …”
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Research on time-varying path optimization for multi-vehicle type fresh food logistics distribution considering energy consumption by Hao Chen, Wenxian Wang, Li Jia, Haiming Wang

“…This paper addresses the optimization problem of multi-vehicle type fresh food distribution under time-varying conditions. …”
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Synthesis of evasive maneuver control of unmanned aerial vehicle for terminal restrictions by N. Y. Polovinchuk, S. V. Ivanov, L. I. Kotelnitskaya

“…The work objective is to build an algorithm for solving the problem of synthesis of terminal optimal control of motion of center of mass of highspeed UAV that allows searching for the optimal control in function of the current coordinates of the object. …”
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Generation Shedding Capacity Optimization of Sending-End Power Grids with Multi-DC Asynchronous Outfeeds Considering Frequency Stability by Jing GOU, Fang LIU, Li KUANG, Yunche SU, Ao LI, Yunfeng WEN

“…The model comprehensively considers a variety of constraints, such as the frequency constraints, network power flow constraints, reserve constraints, and the constraints of generator-tripping capacity. …”
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Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm by Sahbi Boubaker, Habib Kraiem, Nejib Ghazouani, Souad Kamel, Adel Mellit, Faisal S. Alsubaei, Farid Bourennani, Walid Meskine, Tariq Alqubaysi

“…To contribute to this problem solving, a multi-objective framework for EV demands response in power systems, optimizing charging and discharging schedules while considering maximum load-handling capacity and EV users’ state of charge (SoC) satisfaction as constraints are proposed. …”
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A Bionic Social Learning Strategy Pigeon-Inspired Optimization for Multi-Unmanned Aerial Vehicle Cooperative Path Planning by Yankai Shen, Xinan Liu, Xiao Ma, Hong Du, Long Xin

“…The developed BSLSPIO is utilized to generate feasible paths for UAVs, adhering to time consistency constraints. The simulation results show that the BSLSPIO generates feasible paths at minimum cost and effectively solves the UAVs’ cooperative path-planning problem.…”
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Optimizing Decision Making on Business Processes Using a Combination of Process Mining, Job Shop, and Multivariate Resource Clustering by Hanung Nindito Prasetyo, Riyanarto Sarno, Dedy Rahman Wijaya, Raden Budiraharjo, Indra Waspada, Kelly Rossa Sungkono, Abdullah Faqih Septiyanto

“…In general, scheduling becomes a problem when sequencing the operations and allocating them into specific time slots without prolonging the technical and capacity constraints. …”
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Optimal Operation of a Tablet Pressing Machine Using Deep-Neural-Network-Embedded Mixed-Integer Linear Programming by Jialong Li, Lan Wu, Yuang Qin, Haojun Zhi

“…To integrate DNN into the MILP framework, Big-M constraints are applied to linearize the Rectified Linear Unit (ReLU) activation functions, ensuring solvability and global optimality of the optimization problem. …”
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A spherical vector-based adaptive evolutionary particle swarm optimization for UAV path planning under threat conditions by Yanfei Liu, Hao Zhang, Hao Zheng, Qi Li, Qi Tian

“…However, existing particle swarm optimization (PSO) algorithms struggle with these problems as they fail to consider UAV dynamics, resulting in many infeasible solutions and poor convergence to optimal solutions. …”
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