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A heuristic method based on LP relexation to solve the multiple allocation modular hub location problem
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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Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks
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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Comparison of Continuous-Time Partial Markov Chain Construction by Heuristic Algorithms for Purpose of Approximate Transient Analysis
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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A sparrow search algorithm based hybrid meta-heuristic algorithm for population growth rate prediction
Published 2023-12-01Subjects: Get full text
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A Real-Time Safe Navigation Proposal for Mobile Robots in Unknown Environments Using Meta-Heuristics
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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An Adaptive Large Neighborhood Search Heuristic for the Electric Vehicle Routing Problems with Time Windows and Recharging Strategies
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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An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition
Published 2023-09-01Subjects: Get full text
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Pile-Raft Settlements Prediction under Coupled Static-Dynamic Loads Using Four Heuristic Regression Approaches
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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Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm)
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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The Implementation of a Support Vector Regression Model Utilizing Meta-Heuristic Algorithms for Predicting Undrained Shear Strength
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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A new population initialisation method based on the Pareto 80/20 rule for meta‐heuristic optimisation algorithms
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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Implementation of an information system for tuberculosis in healthcare facilities in Indonesia: evaluation of its effectiveness and challenges
Published 2025-01-01Subjects: “…Heuristic…”
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The holistic view in forecasting: A conceptual framework to analyze and mitigate cost underestimation arising from optimism bias
Published 2025-12-01Subjects: Get full text
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Tuning of controller parameters for suppressing low frequency oscillations in electric railway traction networks using meta‐heuristic algorithms
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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Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach
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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Different Meta-Heuristic Optimized Radial Basis Function Neural Network Models for Short-Term Power Consumption Forecasting
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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Sustainable closed-loop supply chain network design: heuristic hybrid approach with considering inflation and carbon emission policies
Published 2023-11-01Subjects: Get full text
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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
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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