Showing 1,241 - 1,260 results of 2,140 for search 'constraints optimization problem', query time: 0.12s Refine Results
  1. 1241

    A Generalized Benders Decomposition for Mixed-Integer Nonlinear Programming: Theory and Applications by Fadiah Hasna Nadiatul Haq, Diah Chaerani, Anita Triska

    Published 2024-11-01
    “…This paper comprehensively explains how to solve mixed-integer nonlinear programming (MINLP) models using the generalized benders decomposition (GBD) method. The MINLP problem is an optimization model in which some variables must be integers and the objective function or constraints are nonlinear.  …”
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    Article
  2. 1242

    Novel Energy-Aware 3D UAV Path Planning and Collision Avoidance Using Receding Horizon and Optimization-Based Control by Gamil Ahmed, Tarek Sheltami

    Published 2024-11-01
    “…We formulate the path planning problem as a minimization optimization problem, and employ Mixed-Integer Linear Programming (MILP) to achieve optimal solutions. …”
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    Article
  3. 1243

    Multi-Objective Cooperative Adaptive Cruise Control Platooning of Intelligent Connected Commercial Vehicles in Event-Triggered Conditions by Jiayan Wen, Lun Li, Qiqi Wu, Kene Li, Jingjing Lu

    Published 2024-12-01
    “…Additionally, adaptive particle swarm optimization (APSO) is employed during the optimization process to solve the optimal problem efficiently. …”
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    Article
  4. 1244

    Advanced Relay Coordination in Power Networks Considering Transformer Inrush and Motor Starting Currents via Weighted Mean Variance Optimizer by Mohammed H. Alqahtani, Abdelmonem Draz, Abdullah M. Shaheen, Attia El-Fergany

    Published 2024-01-01
    “…More endeavors and attempts are still dedicated to solving the optimal relays coordination problem in power systems due to its complexity and evolvement. …”
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    Article
  5. 1245

    Joint Optimization of Resource Allocation and Task Offloading Strategies in Multi-Cell Dynamic MEC Systems Using Multi-Agent DRL by Yuntao Hu, Ming Chen, Haowen Sun, Yinlu Wang, Yihan Cang

    Published 2025-01-01
    “…The optimization problem is then formulated as a multi-agent Markov decision process (MAMDP) to enable sequential optimization across multiple scheduling cycles. …”
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    Article
  6. 1246

    Energy-Efficient UAV Relaying Robust Resource Allocation in Uncertain Adversarial Networks by Shakil Ahmed, Mostafa Zaman Chowdhury, Saifur Rahman Sabuj, Md Imtiajul Alam, Yeong Min Jang

    Published 2021-01-01
    “…While the problem is non-convex, we propose an iterative and sub-optimal algorithm to optimize EE UAV relay with constraints, such as ICC, trajectory, speed, acceleration, and transmit power. …”
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    Article
  7. 1247

    Fields2Benchmark: An open-source benchmark for coverage path planning methods in agriculture by Gonzalo Mier, Ana María Casado Faulí, João Valente, Sytze de Bruin

    Published 2025-12-01
    “…The agricultural coverage path planning problem focuses on optimizing coverage paths for agricultural operations. …”
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    Article
  8. 1248

    Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks by Faeik T. Al Rabee, Ala'Eddin Masadeh, Sharief Abdel-Razeq, Haythem Bany Salameh

    Published 2024-01-01
    “…However, their design faces significant challenges, such as blockage, limited range, Line-of-Sight (LOS) constraints, and uncertainties in channel gain. Integrating EH and NOMA brings design constraints, namely the uncertainty and dynamic nature of EH sources, that complicate energy management and NOMA’s power multiplexing challenges in optimizing power allocation. …”
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    Article
  9. 1249

    Research on Internal Layout Optimization of Logistics Node under the Conditions of Complex Terrain Based on Computer Vision and Geographical Simulation System by Wei Wang, Xuejun Feng

    Published 2012-01-01
    “…This paper solves the problem of logistics node space relationship beyond expression based on computer vision technology, proposes internal layout optimization mathematical model of logistics node on the basis of overall consideration of function zone geometry shape, the optimal area utilization rate, and the minimum material handling cost, and then designs a highly mixed genetic simulated annealing algorithm based on multiagent to get layout solution. …”
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    Article
  10. 1250

    Economic Load Dispatch of A Multi‐Area Power System Using Multi‐Agent Distributed Optimization Based on Genetic Algorithm by Seyed Yaser Fakhrmousavi, Seyed Babak Mazafari, Shahram Javadi, Mahmood Hosseini Aliabadi

    Published 2025-04-01
    “…ABSTRACT This study presents a new methodology for distributed multi‐agent optimization utilizing a genetic algorithm to address Multi‐Area Economic Dispatch Problem (MAEDP) in a power system. …”
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  11. 1251
  12. 1252

    Multi-objective stochastic model optimal operation of smart microgrids coalition with penetration renewable energy resources with demand responses by Ali Abdolahzadeh, Amir Hassannia, Farhoud Mousavizadeh, Mohammad Tolou Askari

    Published 2025-07-01
    “…A key innovation of this study is the development of an advanced hybrid solution methodology, combining the ε-constraint method for multi-objective optimization with Benders decomposition for computational efficiency. …”
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    Article
  13. 1253

    Providing a Roadmap for the Adaption of Agricultural Sector to Water Scarcity Conditions (Case Study: Selected Crops of Tajan Basin, Iran) by H. Fouladi, H. Amirnejad, S. Shirzadi Laskookalayeh

    Published 2024-09-01
    “…Materials and MethodsThe Linear Programming (LP) Model quantifies an optimal way of integrating constraints to satisfy the objective function to optimize crop production and profits for irrigation farmers. …”
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  14. 1254

    Day-ahead energy optimization and scheduling strategy of "source-network-train-storage" coordinated power supply system for electrified railways by LIAO Haizhu, HU Haitao, HUANG Yi, GE Yinbo, GENG Anqi, WANG Ke

    Published 2022-05-01
    “…Secondly, the nonlinear constraints in the model were linearized and transformed into a mixed-integer linear programming problem, which was then solved by the CPLEX solver. …”
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  15. 1255

    Radio Mean Labeling Algorithm, Its Complexity and Existence Results by Meera Saraswathi, K. N. Meera, Yuqing Lin

    Published 2025-06-01
    “…The task of assigning radio mean labels to a graph can be considered as an optimization problem. This paper critiques the limitations of existing Integer Linear Programming (ILP) models for assigning radio mean labeling to graphs and proposes a new ILP model. …”
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  16. 1256

    A Stochastic Optimization Model for Multi-Airport Flight Cooperative Scheduling Considering CvaR of Both Travel and Departure Time by Wei Cong, Zheng Zhao, Ming Wei, Huan Liu

    Published 2025-07-01
    “…By assuming that both travel and departure time are normally distributed variables, a multi-objective stochastic optimization model for the multi-airport flight cooperative scheduling problem (MAFCSP) with CvaR of travel and departure time is firstly proposed. …”
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  17. 1257

    Novel 3D UAV Path Planning for IoT Services Based on Interactive Cylindrical Vector Teaching–Learning Optimization Algorithm by Xinghe Jiang, Xuanyu Wu, Zhifeng Zhang, Zhaoxi Hong, Xi Xiao, Yixiong Feng

    Published 2025-04-01
    “…In the 6G-IoT convergence ecosystem, UAV path planning for static environments is systematically investigated as a resource coordination problem where communication demands and terrain constraints are balanced through intelligent trajectory optimization. …”
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  18. 1258
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  20. 1260

    Distributionally Robust Optimization Based Restoration for Integrated Electricity-Gas Systems Incorporating Wind Power and Flexible Reserve Capacity Allocations by Jingyang Yun, Hongyan Ma, Zheng Yan

    Published 2025-01-01
    “…Through the construction of a Wasserstein metric-based ambiguity set of wind power forecast deviation, the proposed two-stage IEGS restoration model can incorporate operational risks when the uncertainty of wind power output is encountered and also take into account the flexible reserve capacity (FRC) allocation and deployment constraints. The proposed model can realize the reasonable scheduling of wind power, automatically determine the allocation of the required FRC, and optimize the load restoration schemes. …”
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