Showing 121 - 140 results of 3,764 for search 'improve (((coot OR (cost OR post)) OR most) OR root) optimization algorithm', query time: 0.32s Refine Results
  1. 121

    An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm by Jihan Zhang, Yuan Wang, Jinyan Hu, Hongwu You

    Published 2025-01-01
    “…Although methods based on dynamic models and optimization theory can improve tracking performance, most autonomous systems lack high-fidelity models and the complexity of optimization processes lead to increase computational burden. …”
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    Article
  2. 122

    A study of scheduling strategies for microgrids based on the non-dominated sorting dung beetle optimization algorithm by Yutong Chen, Wu Ning, Wei Du

    Published 2025-05-01
    “…Specifically, compared with the Grey Wolf Optimizer (GWO) and the standard Dung Beetle Optimization (DBO) algorithm, the overall operation cost of NSDBO is reduced by 52% and 8.1%, respectively. …”
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  3. 123

    Improved Monthly Runoff Prediction of OSELM Based on Secondary Decomposition Technique and Optimization of Ten "Bird" Swarm Algorithms by DENG Zhiyu, CUI Dongwen

    Published 2025-01-01
    “…To improve the accuracy of monthly runoff time series prediction and enhance the performance of online sequential extreme learning machine (OSELM) prediction, ten "bird" swarm algorithms were compared and validated for optimization, including satin bowerbird optimizer (SBO)/Harris hawks optimization (HHO)/seagull optimization algorithm (SOA)/African vultures optimization algorithm (AVOA)/coot optimization algorithm (COOT)/pelican optimization algorithm (POA)/eagle perching optimization (EPO)/osprey optimization algorithm (OOA). …”
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  4. 124
  5. 125

    Structural Simulation Model Updating Based on Improved MCMC Algorithm and Surrogate Model by MIAO Ji, DUAN Liping, LIU Jiming, LIN Siwei, ZHAO Jincheng

    Published 2025-08-01
    “…The results show that WOA can significantly improve the stability and convergence speed of the MCMC algorithm, the updating efficiency can be improved by 13.9% at most, and the maximum frequency errors of the simply supported beam model and the three-story steel frame model updated by the WO-MH algorithm are 0.009% and 2.41%, respectively. …”
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  6. 126

    Hybrid genetic algorithm to minimize scheduling cost with unequal and job dependent earliness tardiness cost by Prasad Bari, Prasad Karande, Vaidehi Bag

    Published 2023-11-01
    “…This article presents two combinatorial genetic algorithms (GA), unequal earliness tardiness-GA (UET-GA) and job-dependent earliness tardiness-GA (JDET-GA) for the single-machine scheduling problem to minimize earliness tardiness (ET) cost. …”
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    Air Quality Prediction Using Neural Networks with Improved Particle Swarm Optimization by Juxiang Zhu, Zhaoliang Zhang, Wei Gu, Chen Zhang, Jinghua Xu, Peng Li

    Published 2025-07-01
    “…Second, the inertia weights and learning factors of the standard PSO are improved to ensure the global search ability exhibited by the algorithm in the early stage and the ability to rapidly obtain the optimal solution in the later stage; we also introduce an adaptive variation algorithm in the particle search process to prevent the particles from being caught in local optima. …”
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  11. 131
  12. 132

    Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Ahmed Gouda Mohamed, Ali Hassan Ali, Ahmed Adel Abdelhady

    Published 2025-06-01
    “…Abstract Linear repetitive construction projects present unique challenges in optimizing both completion time and cost performance. …”
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  13. 133

    Optimization of costs in the enterprise. Effective strategies for business by N. Yu. Pracheva

    Published 2021-04-01
    “…The article is devoted to an effective methods of cost optimization in small business. All of them, used at the right time, make it possible to improve the situation and maximize profits by reducing costs.…”
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  14. 134

    An improvement in the design process of sustainable peak power rating transformer for solar utility by Emir Yükselen, Ebrahim Rahimpour

    Published 2025-09-01
    “…Such upgrades are essential for transitioning to a zero-emission electricity system and developing green energy projects.In this paper, a transformer has been studied using a combination of electrical design and 3D finite element method simulation to evaluate various design parameters. An optimization study has been conducted using an innovative multi-objective genetic algorithm utilizing a cost function that factors in size and material costs to identify the most efficient and cost-effective design solutions.The proposed design method was then validated through thermal model simulations and experimental tests based on the photovoltaic load cycle. …”
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  18. 138

    An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS) by Metwally Rashad, Mohamed S. Abdellatif, Asmaa H. Rabie

    Published 2025-09-01
    “…These algorithms include Sinh Cosh Optimization (SCHO), Chimp Optimization (Chimp), Improved Sine Cosine Algorithm (ISCA), Improved Grey Wolf Optimization (IGWO), and Coati Optimization Algorithm (COA). …”
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  19. 139
  20. 140

    Integrated optimization model for production and equipment dispatching in underground mines by LI Guo-qing, HOU Jie, HU Nai-lian

    Published 2018-09-01
    “…The best result of mining sequence and equipment dispatching was obtained by an improved genetic algorithm which searches the feasible solutions through primary-secondary two-step searching method. …”
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