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61
Hybrid B-spline collocation method with particle swarm optimization for solving linear differential problems
Published 2025-03-01“…The optimized CHBSM (OCHBSM) was tested on four examples of linear two-point boundary value problems (BVPs), including a linear BVP system. …”
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62
Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization
Published 2025-01-01“…The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. …”
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63
A novel transcendental metaphor metaheuristic algorithm based on power method
Published 2025-07-01“…Additionally, PMA demonstrates exceptional performance in solving eight real-world engineering optimization problems, consistently delivering optimal solutions. …”
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64
Optimasi Biaya Distribusi pada HFVRP Menggunakan Algoritma Particle Swarm Optimization
Published 2019-10-01“…This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to minimize the travel distance and total cost of a Heterogeneous Fleet Vehicle Routing Problem (HFVRP). …”
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65
Incremental Delayed Subgradient Method for Decentralized Nonsmooth Convex–Concave Minimax Optimization
Published 2025-02-01“…In this paper, we propose an incremental-type subgradient scheme for solving a nonsmooth convex–concave minimax optimization problem in the setting of Euclidean spaces. …”
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66
Optimizing Federated Learning With Aggregation Strategies: A Comprehensive Survey
Published 2025-01-01“…Model-centric strategies optimize the aggregation of model parameters, emphasizing techniques such as weighted averaging and model distillation to improve model performance across clients with diverse data characteristics. …”
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67
Optimization procedures in the problem of marketing educational services at the stage of forming a policy for recruiting applicants to universities
Published 2020-10-01“…An optimization problem is considered, with the help of which it is possible to calculate the optimal value of this parameter.A game-theoretic mathematical model is proposed for modeling the influence of marketing activities and random factors on the result of a new set, with the help of which it is possible to form a ranked list of activities and the optimal allocation of resources. …”
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68
Neural network method of the decision Of the nonlinear problem of optimum distribution of the non-uniform resource
Published 2021-04-01“…Given article is devoted features of the decision of a problem of integer nonlinear programming, by means of developed neural network method and algorithm of nonlinear optimization of means «decision Search» tabular processor Microsoft Excel. …”
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69
The Robust Steiner Team Orienteering Problem with Decreasing Priorities under budgeted uncertainty
Published 2025-12-01“…R-STOP-DP is a variation of the vehicle routing problem with location priorities that applies robust optimization to model the variability on service times incurred by visiting locations. …”
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70
Mechanical and Civil Engineering Optimization with a Very Simple Hybrid Grey Wolf—JAYA Metaheuristic Optimizer
Published 2024-11-01“…The proposed SHGWJA was tested very successfully in seven “real-world” engineering optimization problems taken from various fields, such as civil engineering, aeronautical engineering, mechanical engineering (included in the CEC 2020 test suite on real-world constrained optimization problems) and robotics; these problems include up to 14 optimization variables and 721 nonlinear constraints. …”
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71
IDENTIFICATION OF PRIORITY MEASURES TO OPTIMIZE THE QUALITY OF LIFE OF CHILDREN WITH OBESITY BASED ON THE STUDY OF THE MAIN ASPECTS OF THE PROBLEM
Published 2020-07-01“…Identify measures to optimize the quality of life of children and adolescents with obesity. …”
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72
Gearbox fault diagnosis method based on optimized VMD-NLM with 1DDRSN
Published 2025-05-01“…ObjectiveAiming at the problem of poor accuracy of gearbox fault diagnosis under noise interference, a new fault diagnosis method for gearboxes based on the denoising methods of optimized variational modal decomposition (VMD)and non-local means (NLM) was constructed, combined with a one-dimensional deep residual shrinkage network (1DDRSN).MethodsFirstly, the parameters in the VMD were automatically optimized using the subtractive average-based optimization (SABO); secondly, each intrinsic mode function (IMF) after the decomposition of the VMD was filtered using sample entropy, and the noise-containing components were subjected to the NLM denoising and reconstruction; then, a residual network that combines the attention mechanism with soft thresholding was introduced to model 1DDRSN; finally, the denoised and reconstructed signals were inputted into the 1DDRSN for fault diagnosis and identification. …”
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73
Multi-criteria vehicle routing problem for a real-life parcel locker-based delivery
Published 2025-07-01“…The problem is formulated and two optimization criteria are defined. …”
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74
Facility location problem for senior centers in an upcoming super-aging society
Published 2025-02-01“…An optimization model is developed using a genetic algorithm to determine the optimal locations of senior centers. …”
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75
Solution Continuation on a Discontinuity Set
Published 2016-02-01“…Filippov and allow to extend these techniques to a wide class of multidimensional problems. Optimality conditions set forth averaged nonlinear programming and examples of their use in the case of ordinary and degenerate solutions.…”
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76
On an Optimal Quadrature Formula for Classes of Functions Given by Modulus of Continuity
Published 2014-06-01Get full text
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77
Exploring the Impact of Local Operator Configurations in the Multi-Demand Multidimensional Knapsack Problem
Published 2025-02-01“…The Multi-demand Multidimensional Knapsack Problem (MDMKP) is a challenging combinatorial task due to its capacity and demand constraints. …”
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78
Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems
Published 2025-03-01“…Through a series of experiments, it is demonstrated that compared to multi-objective particle swarm optimization (MOPSO), non-dominated sorting genetic algorithm II (NSGA-II), and multi-objective sparrow search algorithm (MOSSA), the proposed MCAACO significantly reduces travel paths by an average of 3.05% and increases vehicle service coverage by an average of 3.2%, while satisfying vehicle capacity constraints. …”
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79
Performance of a simple ACO on the minimum label spanning tree problem
Published 2025-04-01“…We show that the 1-ANT MMAS* is capable to obtain some approximate optimal solution of the minimum label spanning tree problem in polynomial time in average. …”
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80
Stochastic Variance Reduced Primal–Dual Hybrid Gradient Methods for Saddle-Point Problems
Published 2025-05-01Get full text
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