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  1. 1661

    Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation by Shengzhong Zhang, Qianqian Hui, Xue Bai, Rongting Sun

    Published 2020-01-01
    “…Two hybrid metaheuristic algorithms based on the particle swarm optimization algorithm and the genetic algorithm, respectively, are proposed to solve the bilevel model. …”
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    Article
  2. 1662

    QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing by Keyvan Atbaee Tabary, Homayun Motameni, Behnam Barzegar, Ebrahim Akbari, Hossien Shirgahi, Mehran Mokhtari

    Published 2025-01-01
    “…In this paper, the Smart Message Passing Interface Approach (SMPIA) is combined with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms for CC application. …”
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    Article
  3. 1663

    Optimization of Vehicle Routing with Pickup Based on Multibatch Production by Hongtao Hu, Jiao Mo, Chengle Ma

    Published 2018-01-01
    “…In the second stage, the Particle Swarm Optimization (PSO) algorithm was used to allocate vehicles to each production batch. …”
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    Article
  4. 1664
  5. 1665
  6. 1666

    Fuzzy optimum PSO: PSO with optimized fuzzy controllers by Omid Mokhlessi, Seyed Hamid Zahiri, Nasser Mehrshad

    Published 2024-02-01
    “…Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. …”
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    Article
  7. 1667

    Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm by Peng Wang

    Published 2025-03-01
    “…To enhance the decisionmaking process, this research utilizes particle swarm algorithms to optimize construction project decisions in assembled buildings. …”
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    Article
  8. 1668

    Optimal Operation of Microgrid Considering Photovoltaic,Storage and Turbine by XIANG Hongwei, CHANG Xiqiang, L Menglin, XING Zhanli, WANG Han

    Published 2020-04-01
    “…Constraints include power balance constraints, etc. The improved particle swarm optimization algorithm is used to solve the problem. …”
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    Article
  9. 1669

    PSO Based Optimization of Testing and Maintenance Cost in NPPs by Qiang Chou, Daochuan Ge, Ruoxing Zhang

    Published 2014-01-01
    “…Particle swarm optimizations (PSOs) have proved their capability to solve these kinds of problems. …”
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    Article
  10. 1670

    KBNN Based on Coarse Mesh to Optimize the EBG Structures by Yi Chen, Yu-bo Tian, Fei-yan Sun

    Published 2017-01-01
    “…We use precise mesh model of EM analysis as teaching signal and coarse mesh model as a priori knowledge to train the neural network (NN) by particle swarm optimization (PSO). The NN constructed by this method is simpler than traditional NN in structure which can replace precise model in optimization and reduce the computing time. …”
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    Article
  11. 1671

    A novel economic load dispatch method of microgrid based on hybrid slime mould and genetic algorithm by Wei Ba, Wei Sun, Chunjiang Zhao, Qi Li

    Published 2025-07-01
    “…For performance evaluation, GSMA is compared with slime mould algorithm (SMA), grey wolf optimizer (GWO), sparrow search algorithm (SSA), Harris Hawks optimization (HHO), whale optimization algorithm (WOA) and particle swarm optimization (PSO) using standard optimization functions. …”
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    Article
  12. 1672
  13. 1673

    A review of the application of the simulated annealing algorithm in structural health monitoring (1995-2021) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

    Published 2023-04-01
    “…However, traditional optimization methods such as particle swarm optimization, simulated annealing (SA), and genetic algorithm are constantly employed to detect damages in the structures. …”
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    Article
  14. 1674

    Energy-saving computation offloading scheme based on Sarsa algorithm in industrial internet of things by Jun SUN, Shangweikang ZHAO

    Published 2022-09-01
    “…In order to reduce the total energy consumption of industrial internet of things systems with deadline requirements, a computing offloading scheme based on Sarsa algorithm was proposed.Based on the characteristics of Sarsa algorithm, the energy consumption optimization problem was coupled.The Sarsa algorithm iterated the external state value function, selected the appropriate edge computing server to offload the computing task, and then the particle swarm optimization algorithm solved the resource allocation problem.Finally, the environmental information was updated for the next round of algorithm iteration until the algorithm met the end conditions.The simulation results show that this scheme has faster convergence speed and effectively reduces the system energy consumption.…”
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    Article
  15. 1675

    Construction of a Knowledge Map Based on Text CNN Algorithm for Maritime English Subjects by Hui Wang, Aimin Wei

    Published 2022-01-01
    “…In order to maintain the diversity of particle swarm optimization, the Text CNN algorithm is combined with the construction of Maritime English subject knowledge map, and the network parameters and structure are optimized. …”
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    Article
  16. 1676

    Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks by Tao Wang, Lianglun Cheng, Ke Zhang, Jun Liu

    Published 2014-03-01
    “…With both the energy-aware metrics: energy-aware load-balancing factor and overall energy consumption, we formulate the process of energy-aware sensor service composition into a combinatorial optimization problem; furthermore, an improved discrete particle swarm optimization (IDPSO) algorithm with inertia weights adjustment and extreme perturbation scheme is proposed to solve the combinatorial optimization problem. …”
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    Article
  17. 1677

    A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing by Muhammad Sardaraz, Muhammad Tahir

    Published 2020-08-01
    “…The proposed algorithm is evaluated with benchmark datasets and comparative results with the standard genetic algorithm, particle swarm optimization, and specialized scheduler are presented. …”
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    Article
  18. 1678

    Development of an Improved KOA Algorithm for Solving Task Allocation in Hilly Orchards With Weeding Robots by Xiaolin Xie, Hang Jin, Heng Wang, Man Xu, Cheng Zhang, Xin Jin, Zhihong Zhang

    Published 2025-01-01
    “…The results indicated that, compared to Particle Swarm Optimization (PSO), Sparrow Search Algorithm (SSA), Whale Optimization Algorithm (WOA), and Kepler Optimization Algorithm (KOA), GKOA reduced the optimal solution cost by 10.3%, 8.2%, 7.0%, and 4.5%, respectively. …”
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    Article
  19. 1679

    Algorithm for Solving Distributed Workshop Scheduling Model Based on Order Constraints and Assembly Constraints by Tingting Qu

    Published 2025-01-01
    “…For this model, an improved greedy algorithm was combined to solve it, and particle swarm optimization algorithm was introduced to enhance the local and global search capabilities of the distributed scheduling system, effectively addressing the computational complexity in large-scale production environments. …”
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    Article
  20. 1680

    Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm by Shui-Hua Wang, Khan Muhammad, Yiding Lv, Yuxiu Sui, Liangxiu Han, Yu-Dong Zhang

    Published 2018-01-01
    “…The proposed TSE-Jaya provides a better performance, compared to the conventional approaches including plain Jaya, multiobjective genetic algorithm, particle swarm optimization, bee colony optimization, modified ant colony system, and real-coded biogeography-based optimization.…”
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    Article