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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm
Published 2024-01-01“…To overcome this challenge, this study introduces an improved optimization approach, the improvement of reinforcement learning in the artificial bee colony (improved R-ABC) algorithm, to enhance the optimization process for ANNs. …”
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664
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Improved Black-Winged Kite Algorithm with Multi-Strategy Optimization for Identifying <i>Dendrobium huoshanense</i>
Published 2025-04-01“…An improved black-winged kite algorithm with multiple strategies (BKAIM) is proposed in this paper to address two critical limitations in the original black-winged kite optimization algorithm (BKA): the restricted search capability caused by the low-quality initial population and the reduced population diversity resulting from blind following behavior during the migration phase. …”
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666
Sustainable supply chain: An optimization and resource efficiency in additive manufacturing for automotive spare part
Published 2025-06-01“…The incorporation of additive manufacturing within the automotive supply chain holds the potential to improve operational efficiency and generate significant cost savings while enhancing sustainability. …”
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667
Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution
Published 2025-01-01“…To address these issues, the improved artificial bee colony optimization underwater localization algorithm by logistic chaos mapping and differential evolution (LDIABC), was proposed. …”
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668
Optimization of Mixed-Integer Non-Linear Electricity Generation Expansion Planning Problem Based on Newly Improved Gravitational Search Algorithm
Published 2017-12-01“…This study aims to examine the applicability ofGravitational Search Algorithm (GSA) and the newly improved GSA (IGSA) for optimization of themixed-integer non-linear electricity generation expansion planning (GEP) problem. …”
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669
Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models
Published 2025-12-01“…The synergistic use of different admixtures is an effective anti-freezing method, but traditional testing methods are costly and time-consuming. To optimize current technical approaches, this study proposes a Ensemble Model combining Long Short-Term Memory (LSTM) networks with swarm intelligence optimization algorithms to address the adaptability of multi-parameter materials in basalt fiber concrete (BFC) under FTCs. …”
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Inversion of electric field component Ex in the SOTEM method based on the improved particle swarm optimization algorithm
Published 2025-04-01“…The performance of the improved PSO algorithm was verified using the typical three-, five-, and seven-layered geoelectric models constructed in this study.Results and ConclusionsThe results of this study indicate that for the five- and seven-layered geoelectric models, the damped least squares method yielded average inversion errors of 0.34% and 4.68%, respectively, while the improved PSO algorithm yielded average inversion errors of 0.21% and 0.87%, respectively. …”
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672
Multi-UAV Delivery Path Optimization Based on Fuzzy C-Means Clustering Algorithm Based on Annealing Genetic Algorithm and Improved Hopfield Neural Network
Published 2025-03-01“…This study develops an MTSP model for multi-UAV delivery optimization from a central hub, proposing a hybrid algorithm that integrates genetic simulated annealing-enhanced clustering with an improved Hopfield neural network to minimize the total flight distance. …”
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673
An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas
Published 2025-01-01“…This paper proposes an improved crayfish optimization algorithm (ICOA) to optimize the initial weights and biases of the neural network, aiming to enhance both convergence accuracy and speed. …”
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674
Coupled Optimization of UAV Cluster Path Optimization and Task Assignment on a Mobile Platform
Published 2024-12-01“…Combining the UAV turning angle, minimum direct flight trajectory and other flight characteristics, the path optimization model on the 3D raster map is established with the objectives of shortest flight time and minimum UAV destruction, and the optimal path between the vertices of each mission is derived by using an improved Gray Wolf Optimization algorithm. …”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization
Published 2025-04-01“…Previous studies have demonstrated that multi-swarm optimization models exhibit robust performance in CMOPs; however, their high computational resource demands can hinder convergence efficiency. …”
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676
White Shark Optimization for Solving Workshop Layout Optimization Problem
Published 2025-04-01“…Using a real–world case study, the White Shark Optimizer (WSO) algorithm is applied to solve the model. …”
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677
Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization
Published 2025-02-01“…Abstract Parameter identification in a Proton Exchange Membrane Fuel Cell (PEMFC) entails the application of optimization algorithms to ascertain the optimal unknown variables essential for crafting an accurate model that predicts fuel-cell performance. …”
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678
AUV path planning method based on improved sparrow search algorithm
Published 2025-06-01“…ObjectiveTo address the challenges of complex underwater environments, particularly the uncertainties in ocean currents, this study proposes an improved sparrow search algorithm (ISSA) for autonomous underwater vehicles (AUVs) path planning. …”
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679
New Maps of Lunar Surface Oxide Abundances and Mg# Using an Optimized Ensemble Learning Algorithm
Published 2025-01-01“…In this study, multisource data, specifically KAGUYA multiband imager (MI) data and Diviner Christiansen feature (CF) products, referred to as MI-CF, combined with an ensemble learning algorithm optimized by improved particle swarm optimization (IPSO), were utilized to produce new maps of six oxides (FeO, TiO<sub>2</sub>, Al<sub>2</sub>O<sub>3</sub>, CaO, MgO, and SiO<sub>2</sub>) and Mg# at a resolution of 59 m/pixel within the Moon's 65° N/S range. …”
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Optimized planning of electric vehicle charging infrastructure for grid performance improvement
Published 2025-07-01“…This paper presents a multi-objective optimization framework developed using particle swarm optimization (PSO) algorithm to determine optimal placement and capacity of EV charging infrastructures. …”
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