Risk Limiting Based Resilient Operation Method for Power Grid by Xiyue WANG, Hao ZHANG, Chaoyi PENG

“…In order to address the risk of load shedding caused by the power fluctuation and uncertainty of renewable energy on real-time power balance in the grid, we propose a resilient operation model for the grid based on risk limiting theory (RLB). To solve the problem of solving probabilistic constraints, a solution is provided to enhance the operational resilience of the grid. …”
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CO2 Emission-Constrained Short-Term Unit Commitment Problem Using Shuffled Frog Leaping Algorithm by K. Selvakumar, D. Selvabharathi, R. Palanisamy, T. M. Thamizh Thentral

“…The increasing concerns about greenhouse gas emissions have made it necessary to incorporate environmental constraints in the operation of power systems. The CO2 emission-constrained short-term unit commitment problem (CSCUCP) is a multiobjective optimization problem that involves minimizing both the cost of operation and the CO2 emissions. …”
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Adaptive RIS Design and Optimization for Cooperative RIS-Assisted Wireless Systems by Tarun Jain, Sainath Bitragunta, Ashutosh Bhatia

“…We propose an adaptive RIS-based cooperative transmission strategy that jointly selects one of two RIS paths and dynamically optimizes the number of active meta-atoms to maximize physical layer (PHY) secrecy capacity under a total average power constraint. …”
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Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning by Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan

“…Often, this is a complex, multi-constraint, and non-linear optimization problem, and metaheuristic algorithms are frequently used to solve it. …”
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Adaptive Impact-Time-Control Cooperative Guidance Law for UAVs Under Time-Varying Velocity Based on Reinforcement Learning by Zhenyu Liu, Gang Lei, Yong Xian, Leliang Ren, Shaopeng Li, Daqiao Zhang

“…Firstly, a reinforcement learning framework for the high-speed UAVs’ guidance problem is established. The optimization objective is to maximize the impact velocity; and the constraints for impact time, dive attacking, and FOV are considered simultaneously. …”
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Effective Heuristics for Solving the Multi-Item Uncapacitated Lot-Sizing Problem Under Near-Minimal Storage Capacities by Warut Boonphakdee, Duangrat Hirunyasiri, Peerayuth Charnsethikul

“…For large-scale problems under near-minimal storage capacity constraints, the proposed heuristic achieved only small optimality gaps while requiring less running time. …”
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Trajectory Optimization Approach for Adaptive Multiple-Pass Aeroassisted Orbital Maneuver by Rui Teng, Hongwei Han, Jilin Chen, Bo Pang

“…The deorbit continuous thrust maneuver, multipass atmospheric flight, and insertion thrust maneuver are all simultaneously taken into account by the segmented hierarchical trajectory optimization method presented in this study. A unified optimization model for the deorbit and insertion maneuver optimization problems is constructed, and sequential convex optimization is used to solve them. …”
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Solving the Single-Source Capacitated Facility Location Problem Using a Crow Search-Based Hybrid Method by Wangyue Xu, Martino Luis, Baris Yuce

“…The Single Source Capacitated Facility Location Problem (SSCFLP) stands as a pivotal yet highly complex challenge in facility location science, underpinning real-world supply chains where single-sourcing constraints are critical for service quality and operational efficiency. …”
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Triple-Layer Genetic Algorithm (3LGA) for Project Scheduling and Material Ordering Problem with Limited Storage Space by Suphawut Malaikrisanachalee, Narongrit Wongwai, Pongpan Promchun

“…To bridge these gaps, this paper investigates the project scheduling and material ordering problem with limited storage space (PSMOP-LSS) and introduces an integrated model that simultaneously optimizes storage space allocation, activity scheduling, and material ordering. …”
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Resource optimization for UAV relay networks based on physical-layer network coding by Junyi YANG, Bo LI, Qinyu ZHANG

“…To solve the problem of low resource utilization of the traditional two-way communication network with unmanned aerial vehicle (UAV) as relays, a resource optimization algorithm based on physical-layer network coding was proposed.Considering the transmission power constraints of the UAV relay communication network, the maximum speed constraints of the UAV and the synchronization requirements of the physical-layer network coding, a resource allocation model for joint optimization of transmission power and UAV trajectory design was formulated to minimize the system outage probability.By decoupling the original non-convex problem into two sub-problems, an iterative algorithm was proposed to realize the joint implementation of optimal trajectory design and optimal system power distribution based on the Karush-Kuhn-Tucker (KKT) conditions, Lagrangian duality method and subgradient method.Simulation results show that the proposed algorithm can significantly improve the system performance and reduce the possibility of communication interruption.…”
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Time-optimal Trajectory Planning of 6-DOF Robot based on Genetic Algorithm by He Jianli, Zhu Longying, Cheng Lei, Yin Jiucheng

“…For the problem of the low efficiency of robot under a certain working environment,a trajectory planning method based on optimal time is put forward. …”
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Optimized Hybrid Resource Allocation in Wireless Cellular Networks with and without Channel Reassignment by Xin Wu, Arunita Jaekel, Ataul Bari, Alioune Ngom

“…The simplified problem (with only co-channel constraints) can be treated as a special case of our formulation. …”
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Seismic Performance-Based Total Cost Optimization for Steel Moment-Resisting Frames by Akram Abdulazeez-Ali-ALbalky, Saeed Gholizadeh, Saeed Tariverdilo

“…Additionally, the findings indicate that in optimization processes including both kinds of design constraints, the inter-story drift constraints dominate the optimal designs.…”
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Grid Operation Enhancement via Network Topology Optimization With Sparse Tableau Formulation by Sogol Babaeinejadsarookolaee, Byungkwon Park, Bernard Lesieutre, Christopher L. DeMarco

“…Solving the NTO problem that incorporates AC power flow constraints presents significant challenges. …”
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Economic Dispatch of Microgrid in Southwest China Based on Two-Stage Robust Optimization by Mingkui WEI, Quan ZHOU, Hong ZHOU, Shaorong CAI, Li JIANG, Liang LU, Wenju LIANG, Li SHEN, Qi LI

“…The model considers system power balance, output power constraints, demand response load constraints, and interaction constraints between microgrid and distribution network. …”
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The County–Township–Village Station Location-Routing Problem for the Integration of Passenger and Freight Transport by Urban–Rural Buses by Xiaoting Shang, Jiaqi Sun, Xin Cheng, Hao Sun

“…This paper studies the county–township–village station location-routing problem for the integration of passenger and freight transport by urban–rural buses, aiming to develop an efficient transport network by establishing rational stations and designing optimal operation routes. …”
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Multiphase Trajectory Optimization of a Lunar Return Mission to an LEO Space Station by Luyi Yang, Haiyang Li, Jin Zhang, Yazhong Luo

“…At the sublevel, two novel pseudo rules are proposed to optimize the trans-Earth trajectory so that it satisfies the coplanar constraints of the space station. …”
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Optimal Power Flow: A Review of State-of-the-Art Techniques and Future Perspectives by Ahmed Babiker, Sulaiman S. Ahmad, Ijaz Ahmed, Muhammad Khalid, Mohammad A. Abido, Fahad Saleh Al-Ismail

“…The Optimal Power Flow (OPF) problem has become increasingly pivotal in the planning and operation of modern power systems. …”
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An Optimized Framework of the Integrated Renewable Energy and Power Quality Model for the Smart Grid by Naveen Kumar, Gopal Singh, Hailemichael Kebede

“…The operating costs of conventional units, the price of generating solar or wind power, and the cost of maintaining units are the problems of objective functions; the constraints taken into account are primarily system constraints. …”
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Multi-objective Reliability Optimization of NGW Type Reducer of the Road-rail Vehicle by Wen Junhu, Zheng Wei, Hao Shuai

“…Aiming at the problem of multi-objective reliability optimization for the reducer of road-rail vehicle,firstly,it must be ensured that the electric wheel planetary gear reducer is in good working order and loading conditions meet the requirements of transmission.By applying the reliability theory and optimization design technology,the reducer weight reduction,materials saving,low cost can be realized safety and reliability is improved.The MATLAB optimization toolbox is used to solve the problem of the optimization of reducer.Taking the volume and contact ratio as multi-objective optimization function,then the multi-objective optimization problem is transformed into single-objective problem to solve by the linear weighted method.The mathematical model is established by using the safety factor method and other constraints.By using Fmincon function,the optimizing calculation and analysis are carried out,the optimal solution is got,which makes the optimization design parameters more reasonable than the original design parameters.Consequently,the results show that the working performance of the electric wheel of the road-rail vehicle is improved.…”
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