Showing 21 - 40 results of 95 for search 'metaheuristic methods of constraints optimization', query time: 0.11s Refine Results
  1. 21

    Fast charging coordination for electric vehicles in a charging station based on heuristics and metaheuristics by Euler B. P. Santos, Carlos A. Castro

    Published 2025-07-01
    “…TLBO is an efficient metaheuristic algorithm that requires few tuning parameters and does not depend on historical data to obtain an optimal solution for an optimization problem. …”
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  2. 22

    Comparative performance evaluation of economic load dispatch using metaheuristic techniques: A practical case study for Bangladesh by Sumaiya Janefar, Prangon Chowdhury, Rahbaar Yeassin, Mahmudul Hasan, Nahid-Ur-Rahman Chowdhury

    Published 2025-06-01
    “…This study evaluates three metaheuristic algorithms—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Harmony Search (HS)—for solving the ELD problem in a thermal power plant in Bangladesh. …”
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  3. 23

    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

    Published 2025-01-01
    “…Additionally, it explores the evolution of these methods from conventional approaches to advanced and recent techniques, including mathematical methods and artificial intelligence methods, which include metaheuristic (search-based) and machine learning algorithms (data-driven). …”
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  4. 24

    A UAV Trajectory Optimization and Task Offloading Strategy Based on Hybrid Metaheuristic Algorithm in Mobile Edge Computing by Yeqiang Zheng, An Li, Yihu Wen, Gaocai Wang

    Published 2025-07-01
    “…In order to solve this problem, hybrid alternating metaheuristics for energy optimization are given. Due to the non-convexity and fractional structure of the optimization problem, it can be transformed into an equivalent parameter optimization problem using the Dinkelbach method and then divided into two sub-optimization problems that are alternately optimized using metaheuristic algorithms. …”
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    Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

    Published 2025-05-01
    “…The VRP with prioritized customers introduces additional complexity by requiring efficient routing while ensuring high-priority customers receive service within strict constraints. To tackle this challenge, the proposed metaheuristic-based hyperheuristic dynamically selects and adapts low-level heuristics using Simulated Annealing (SA) and Ant Colony Optimization (ACO), enhancing search efficiency and solution quality. …”
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    An evolutionary-based optimization algorithm for truss sizing design by Pham Hoang Anh

    Published 2016-12-01
    “…Objective functions of the optimization problems are minimum weights of the whole truss structures and constraints are stress in members and displacement at nodes. …”
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    A Novel Optimization Algorithm Inspired by Egyptian Stray Dogs for Solving Multi-Objective Optimal Power Flow Problems by Mohamed H. ElMessmary, Hatem Y. Diab, Mahmoud Abdelsalam, Mona F. Moussa

    Published 2024-12-01
    “…The OPF is characterized by the nonlinearity and nonconvexity behavior due to the power flow equations, which define the relationship between power generation, load demand, and network component physical constraints. The solution space for OPF is massive and multimodal, making optimization a challenging concern that calls for advanced mathematics and computational methods. …”
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    Line balancing problem with multi-manned workstations and resource constraints: The case of electronics waste disassembly by Yin-Yann Chen, Pourya Pourhejazy, Tzu-Ning Liu

    Published 2024-03-01
    “…This study proposes a new mathematical formulation and hybrid metaheuristics to solve the Disassembly Line Balancing Problem (DLBP) considering multi-manned workstations and resource constraints. …”
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    Economic Dispatch in Electrical Systems with Hybrid Generation Using the Differential Evolution Algorithm: A Comparative Analysis with Other Optimization Techniques Under Energy Li... by Jorge Cadena-Albuja, Carlos Barrera-Singaña, Hugo Arcos, Jorge Muñoz

    Published 2025-06-01
    “…Once the scenarios are established, the problem is formulated as a hydrothermal dispatch optimization, which is then tackled using heuristic and metaheuristic approaches, with a strong focus on the Differential Evolution algorithm.…”
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