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Application of Optimal Scheduling Model Based on Improved Genetic Algorithm in Electric Power Mobile Operation
Published 2024-01-01“…In order to solve the current situation, an optimized scheduling model for power mobile jobs based on improved genetic algorithm is proposed. …”
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Coal Price Forecasting Using CEEMDAN Decomposition and IFOA-Optimized LSTM Model
Published 2025-07-01“…Abstract This study introduces a novel hybrid forecasting model for coking coal prices, integrating complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and long short-term memory (LSTM) neural networks, enhanced by an improved fruit fly optimization algorithm (IFOA). …”
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Shuffled Puma Optimizer for Parameter Extraction and Sensitivity Analysis in Photovoltaic Models
Published 2025-07-01“…To address this challenge, a novel metaheuristic algorithm called shuffled puma optimizer (SPO) is deployed to perform parameter extraction and optimal configuration identification across four PV models. …”
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Optimization of UAV Airfoil Based on Improved Particle Swarm Optimization Algorithm
Published 2022-01-01“…The parametric mathematical model of the airfoil and aerodynamic parameter proxy model of airfoil were constructed using the Hicks-Henne improved function and CFD solution sample, focusing on the issues with particle swarm optimization algorithms such as slow convergence, a tendency to fall into local optimal solutions, and oscillation at a late stage; an optimization method for the low-speed airfoil of a small UAV based on improved particle swarm optimization was developed. …”
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Optimal Operation of Microgrid Based on Improved Particle Swarm Optimization Algorithm
Published 2020-05-01“…Under same conditions, the optimal operation model of the microgrid is solved using the original algorithm and the improved algorithm respectively, and the superiority of the improved algorithm is verified by comparing the solution results.…”
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Research on Interference Resource Optimization Based on Improved Whale Optimization Algorithm
Published 2025-01-01“…Then, in the solution process, to address the issues of the Whale Optimization Algorithm (WOA) easily falling into local optima and low convergence accuracy, the BIO-WOA (Bernoulli Chaotic mapping In-nonlinear Factors and Opposition-based Learning Improved Whale Optimization Algorithm, BIO-WOA) is proposed. …”
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An electricity price optimization model considering time-of-use and active distribution network efficiency improvements
Published 2025-01-01“…To address the issues of high energy costs and inadequate system response speed in complex electricity markets, we propose an electricity price optimization model. This model combines an improved Particle Swarm Optimization algorithm, Quantum-behaved Particle Swarm Optimization, and the Shuffle Frog Leaping Algorithm. …”
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Research on Cold Chain Logistics Joint Distribution Vehicle Routing Optimization Based on Uncertainty Entropy and Time-Varying Network
Published 2025-05-01“…The solution combines simulated annealing strategies with genetic algorithms. It also uses the entropy mechanism to optimize uncertainties, improving global search performance. …”
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Cloud-based Optimized Intelligent Substation Secondary System Rapid Test Model and System Design
Published 2025-05-01“…The operations of switching the applied quantity, throwing and closing the soft and hard plates and starting and stopping the terminal are further considered, and a fast testing mathematical model aiming at the shortest time is proposed. The test sequence is optimized based on the improved whale optimization algorithm (SWOA). …”
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An improved termite life cycle optimizer algorithm for global function optimization
Published 2025-02-01“…The termite life cycle optimizer algorithm (TLCO) is a new bionic meta-heuristic algorithm that emulates the natural behavior of termites in their natural habitat. …”
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A Novel Exploration Stage Approach to Improve Crayfish Optimization Algorithm: Solution to Real-World Engineering Design Problems
Published 2025-06-01“…In order to compensate these shortcomings, this study proposes an Improved Crayfish Optimization Algorithm (ICOA) that designs the competition stage with three modifications: (1) adaptive step length mechanism inversely proportional to the number of iterations, which enables exploration in early iterations and exploitation in later stages, (2) vector mapping that increases stochastic behavior and improves efficiency in high-dimensional spaces, (3) removing the X<sub>shade</sub> parameter in order to abstain from early convergence. …”
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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm
Published 2025-03-01Get full text
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DESIGN HYBRID META-HEURISTIC APPROACHES FOR IMPROVED RELIABILITY OPTIMIZATION
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Research on intra-day multi-objective operation control of distribution network system under quantum communication optimization
Published 2025-02-01“…In order to solve this multi-objective collaborative optimization model, the imperial competition algorithm is combined with genetic algorithm, and the concept of quantum state probability is introduced. …”
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Rainfall Forecasting Using a BiLSTM Model Optimized by an Improved Whale Migration Algorithm and Variational Mode Decomposition
Published 2025-08-01“…Secondly, IWMA is utilized to globally optimize multiple hyperparameters of the BiLSTM model, enhancing its ability to capture complex nonlinear relationships and long-term dependencies. …”
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Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm
Published 2021-09-01“…Taking the simple topology of a substation in a city’s urban area as an example, the effectiveness of the model is proved. Firstly, the possible interval of the optimal solution is calculated with the improved artificial bee colony algorithm; and then the ISDIC site node that is most suitable for the center is obtained through precise calculations; and finally the practical engineering significance of the model and the superiority of the method are fully illustrated through analyzing the indexes of the optimal node.…”
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Application of improved particle swarm optimization algorithm combined with genetic algorithm in shear wall design
Published 2025-12-01“…The improved algorithm is based on the basic framework of genetic algorithm and particle swarm optimization algorithm, first adjusting the inertia weight, and then introducing elimination mechanism and mutation rate control. …”
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Primary Frequency Regulation Modeling of Deep Peak Regulation Unit Based on Improved Group Optimization Algorithm
Published 2020-06-01“…Then the unknown parameter values in the model are derived by using an improved group optimization algorithm with better global search capability. …”
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