Showing 61 - 80 results of 658 for search '"heuristics"', query time: 0.05s Refine Results
  1. 61

    A heuristic method based on LP relexation to solve the multiple allocation modular hub location problem by Zahra Arabzadeh Nosrat Abad, Farid Momayezi, Nader Ghaffarinasab

    Published 2024-12-01
    “…Due to long solution times for the MIP model, a heuristic solution method based on LP relaxation of the integer variables is developed for the proposed problem, which is able to obtain near-optimal solutions in less time.Findings: The developed mathematical model is implemented on the air passenger transportation data for the airports of the United States of America, which is known as the CAB data set. …”
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  2. 62

    Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks by Timotei Lala

    Published 2025-01-01
    “…In this paper, the theoretical stability of batch offline action-dependent heuristic dynamic programming (BOADHDP) is analyzed for deep neural network (NN) approximators for both the action value function and controller which are iteratively improved using collected experiences from the environment. …”
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  3. 63
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    Comparison of Continuous-Time Partial Markov Chain Construction by Heuristic Algorithms for Purpose of Approximate Transient Analysis by Eimutis Valakevičius, Mindaugas Bražėnas, Tomas Ruzgas

    Published 2025-01-01
    “…We investigate the construction of a partial absorbing continuous-time Markov chain (CTMC) using a heuristic algorithm aimed at approximate transient analysis. …”
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  5. 65
  6. 66

    A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics by Micael Balza, Mateus A. Goldbarg, Sergio N. Silva, Lucileide M. D. Silva, Marcelo A. C. Fernandes

    Published 2025-01-01
    “…This work presents the MetaHeuristic Real-Time Safe Navigation (MHRTSN) strategy, which combines potential fields with population-based meta-heuristics to optimize trajectory planning and navigation in such environments. …”
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    Article
  7. 67

    An Adaptive Large Neighborhood Search Heuristic for the Electric Vehicle Routing Problems with Time Windows and Recharging Strategies by Ya-ru Duan, Yong-shi Hu, Peng Wu

    Published 2023-01-01
    “…Due to the strong NP-hardness of EVRPTW-RS, a tailored adaptive large neighborhood search heuristic (ALNS) which contains a number of advanced efficient procedures tailored to handle the proposed problem is developed. …”
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    Pile-Raft Settlements Prediction under Coupled Static-Dynamic Loads Using Four Heuristic Regression Approaches by Mosbeh R. Kaloop, Jong Wan Hu, Emad Elbeltagi

    Published 2018-01-01
    “…Settlement prediction models can be used to avoid the high cost of settlement field tests. Four advanced heuristic regression methods are developed and applied in this study to estimate raft foundations’ settlement, namely, multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), generalized regression neural networks (GRNN), and support vector regression (SVR) techniques. …”
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  10. 70

    Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

    Published 2024-09-01
    “…Given these points, the aim of this research is to provide a model for predicting the sensitivity of CEO compensation using meta-heuristic algorithms, specifically genetic algorithms and particle swarm optimization. …”
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  11. 71

    The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength by Rami Al-Qasimi, Firas Al-Hajri

    Published 2024-12-01
    “…To enhance model performance, three meta-heuristic optimization algorithms Differential Squirrel Search Algorithm (DSSA), Golden Section Search Optimization (GSSO), and Northern Goshawk Optimization (NGO) were utilized. …”
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  12. 72

    A new population initialisation method based on the Pareto 80/20 rule for meta‐heuristic optimisation algorithms by Mohammad Reza Hasanzadeh, Farshid Keynia

    Published 2021-10-01
    “…Abstract In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. …”
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  15. 75

    Tuning of controller parameters for suppressing low frequency oscillations in electric railway traction networks using meta‐heuristic algorithms by Prasenjit Dey, Phumin Kirawanich, Chaiyut Sumpavakup, Aniruddha Bhattacharya

    Published 2023-06-01
    “…For suppressing LFOs, coronavirus herd immunity optimiser (CHIO), a recently developed meta‐heuristic, has been applied for tuning controller parameters. …”
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  16. 76

    Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach by Bahman Shojaei, Heidar Dashti Naserabadi, Mohammad Javad Taheri Amiri

    Published 2024-09-01
    “…The results demonstrate that both meta-heuristic algorithms effectively address the competency-based allocation challenge, with NSGA-II showing superior performance in achieving optimal solutions. …”
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  17. 77

    Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting by Dhivagar Shanmugam, V Ramana

    Published 2024-06-01
    “…This paper proposes a forecasting approach using a hybrid model of the Radial Basis Function (RBF) algorithm, where the hyperparameters are tuned by six meta-heuristic optimizers to enhance precision and speed. …”
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    Research on the Architecture of Cold Chain Logistics Multimedia Monitoring and Tracking Service Platform Based on Fuzzy Sorting and Heuristic Algorithm by Qi Zhang

    Published 2021-01-01
    “…Aiming at the features such as fragility of fruits and vegetables and high storage requirements, in this paper, a cold chain logistics multimedia monitoring and tracking service platform is built in an attempt to monitor the preservation environment and safety status of agricultural products relying on fuzzy sorting and heuristic algorithms, trace agricultural products with labels, and design the direction of the key data. …”
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