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Showing 481 - 500 results of 3,207 for search '(improved OR improve) (((coot OR cost) OR most) OR root) optimization algorithm', query time: 0.35s Refine Results
  1. 481

    APPLYING GRAPH THEORY TO OPTIMIZE PRODUCT DELIVERY ROUTES AND MINIMIZE COSTS IN THE RESTAURANT BUSINESS by Наталія Волосова, Наталія Стеблюк, Наталія Небаба, Олена Юдіна, Максим Корнєєв, Ганна Богородицька

    Published 2025-06-01
    “…Routing algorithms based on graphical description are considered the most optimal analysis method for developing optimal product delivery routes, which helps minimize enterprise costs. …”
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    Article
  2. 482
  3. 483

    Research on switch migration method based on minimum cost path by Yingxu LAI, Yewei PU, Jing LIU

    Published 2020-02-01
    “…In order to protect the controller,especially the controller in backbone network,from security threats and attacks,improve the security of the software-defined network (SDN) control plane,a switch migration algorithm based on minimum cost path was proposed.A load prediction module was added to the migration model,which executed a controller load prediction algorithm to obtain a load prediction matrix,and then a migration-target controller set was determined according to the load prediction matrix.The improved Dijkstra algorithm was used to determine the minimum cost path.According to the load state of the controller and the traffic priority of the switch to be migrated,the optimal migration switch set was determined.The problem of isolated nodes was solved that may occur during the migration process.The experimental results show that the migration timing of the algorithm is more reasonable,the selection of the migration controller and the target controller is more reasonable,the load balancing of the control plane is realized,the number of migrations and cost are reduced,and the performance of the controller is improved.…”
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    Article
  4. 484
  5. 485

    Provide a method to diagnose and optimize diabetes using data mining methods and firefly algorithm by Reza Molaee Fard

    Published 2023-09-01
    “…Diabetes is one of the most common, dangerous and costly diseases in the world today, which is increasing at an alarming rate. …”
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    Article
  6. 486

    Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions by Chi Hua, Liang Kuang, Dechang Pi

    Published 2020-01-01
    “…The proposed study is also applicable to multiple PV plants, multiple maintainers, multipoint departure, different dispatching conditions, and cost considerations. We propose an MOOA algorithm to solve this issue, and we strongly believe that, by defining a suitable fitness function, the convergence speed and optimization ability can be greatly improved, and this study puts a forward step.…”
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    Article
  7. 487

    Intelligent Optimal Control of Sewage Treatment Based on Multiobjective Evolutionary Algorithm by Xi’ning Jia, Chengmi Xiang, Jin Wang, Xue Gao, Yunrui Ye

    Published 2022-01-01
    “…For each new solution generated by the MOEA/D algorithm, the improved algorithm in this paper finds the most suitable subproblem for the new solution from all subproblems and replaces the population in its neighborhood. …”
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  8. 488
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  10. 490

    Ship pipeline collaborative layout optimization based on EPA-star algorithm by Zhiyao YANG, Hongshuo ZHANG, Yan LIN

    Published 2024-12-01
    “…ObjectivesAiming to overcome the efficiency and engineering practicality issues of existing pipeline layout design methods, this study explores a high-efficiency EPA-star (escape pruning A-star algorithm) for pipeline layout optimization.MethodThe layout space is discretized based on the escape graph method, the resulting connection points are stored as the adjacency table, the estimated traversal cost and penalty function are introduced to reduce the bending and folding phenomenon in the path, and the path is pruned to improve the quality of paths in the case of large spans. …”
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    Article
  11. 491

    GENETIC ALGORITHM IN OPTIMIZATION DESIGN OF INTERIOR PERMANENT MAGNET SYNCHRONOUS MOTOR by Phuong Le Ngo

    Published 2017-05-01
    “…For designing PMSM, evolution algorithms are more attractive approach. Genetic algorithm is one of the most common. …”
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    Article
  12. 492

    Harris Hawk optimization algorithm with combined perturbation strategy and its application by Zihe Wang, Xiaohui Wei

    Published 2025-07-01
    “…Abstract Solving complex engineering optimization problems can improve design quality, reduce costs, and enhance performance and reliability. …”
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    Article
  13. 493

    Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm by FengJun Hu, Qian Zhang, Gang Wu

    Published 2020-01-01
    “…The control model is established by using the CKF algorithm, the covariance matrix of standard CKF is optimized by square root filter, the adaptive correction of error covariance matrix is realized by adding memory factor to the filter, and the disturbance factors in nonlinear time-varying discrete stochastic systems are eliminated by multistep feedback predictive control strategy, so as to improve the robustness of the algorithm. …”
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    Article
  14. 494

    Exploring Evolutionary Algorithms for Multi-Objective Optimization in Seismic Structural Design by Seda Göktepe Körpeoğlu, Süleyman Mesut Yılmaz

    Published 2024-10-01
    “…While genetic algorithms are used to improve both the cost and seismic performance of the structure, particle swarm optimization is used to optimize the vibration and displacement performance of structures. …”
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  15. 495

    Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization by Hang Fu, Qingyu Wang, Takuji Nakashima, Asahi Kawasaki, Chenguang Lai, Keigo Shimizu, Rahul Bale, Makoto Tsubokura

    Published 2025-01-01
    “…To further enhance the optimization potential of the parallel EGO algorithm, an improved system that integrates the parallel EGO algorithm with gradient-enhanced kriging (GEK) is proposed. …”
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  16. 496
  17. 497

    Resource optimization algorithm of combination of NFV and SDN for application of multiple services by Xiaorong ZHU, Qian ZHANG

    Published 2018-11-01
    “…Various services of internet of things (IoT) require flexible network deployment to guarantee different quality of service (QoS).Aiming at the problem of IoT service function chain deployment,network function virtualization (NFV) and software defined networking (SDN) were combined to optimize resources.Considering forwarding cost and traffic load balance,a joint optimization model of virtual network function placement and service function chain routing was given and was proved to be NP-Hard.In order to solve this model,two heuristic algorithms were proposed.One was the service chain deployment algorithm of first routing then placing (FRTP) and the other was the placing followed by routing (PFBR) based on node priority.Simulation results demonstrate that FRTP and PFBR algorithm can significantly balance network traffic load while alleviating congestion and improving the acceptance ratio of the chain requests compared with other algorithms.…”
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  18. 498

    Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

    Published 2025-08-01
    “…In this paper, we deal with the use of the earthworm optimization algorithm (EOA) in foraging to estimate and extract the intrinsic electrical parameters of single-, double-, and triple-diode solar cells and photovoltaic modules across different technologies. …”
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  19. 499
  20. 500

    Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems by Muhammet Demirbas, Serhat Duman, Burcin Ozkaya, Yunus Balci, Deniz Ersoy, M. Kenan Döşoğlu, Ugur Guvenc, Bekir Emre Altun, Hasan Uzel, Enes Kaymaz

    Published 2025-06-01
    “…The FFDB-based SAO algorithm (FFDBSAO) controls early convergence problems through balancing exploration–exploitation and improves the solving of high-dimensional optimization problems. …”
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    Article