Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications

Archives of Computational Methods in Engineering, Journal Year: 2022, Volume and Issue: 30(4), P. 2431 - 2449

Published: Dec. 30, 2022

Language: Английский

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An optimized hybrid methodology for short‐term traffic forecasting in telecommunication networks

Transactions on Emerging Telecommunications Technologies, Journal Year: 2023, Volume and Issue: 34(12)

Published: Sept. 14, 2023

Abstract With the rapid development of telecommunication networks, predictability network traffic is significant interest in analysis and optimization, bandwidth allocation, load balancing adjustment. Consequently, recent years, research attention has been paid to forecasting traffic. Telecommunication problems can be considered a time‐series problem, wherein periodic historical data fed as input model. Time‐series approaches are broadly categorized statistical machine learning (ML) methods their combinations. Statistical forecast linear characteristics data, unable capture nonlinear complex patterns. ML‐based model data. In hybrid combining have widely used characteristics. However, performance these highly depends on feature selection techniques hyper‐parameter tuning ML methods. A novel method proposed for short‐term based hyperparameter optimization address this problem. It combines components First, technique, modified mutual information combination targets, find candidate variables. Next, vector auto regressive moving average (VARMA), long memory (LSTM), multilayer perceptron (MLP), called VARMA‐LSTM‐MLP forecaster, suggested metaheuristic algorithm, composed firefly BAT, employed optimal set values. The assessed by real‐world dataset containing Tehran city's daily IRAN. evaluation results demonstrate that outperforms existing terms mean squared error absolute error.

Language: Английский

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Advances in teaching–learning-based optimization algorithm: A comprehensive survey(ICIC2022)

Neurocomputing, Journal Year: 2023, Volume and Issue: 561, P. 126898 - 126898

Published: Oct. 5, 2023

Language: Английский

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A novel modified bat algorithm to improve the spatial geothermal mapping using discrete geodata in Catalonia-Spain

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(3), P. 4415 - 4428

Published: May 9, 2024

Language: Английский

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Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system

Evolutionary Intelligence, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 9, 2025

Language: Английский

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A comprehensive review of dwarf mongoose optimization algorithm with emerging trends and future research directions

Decision Analytics Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100551 - 100551

Published: Feb. 1, 2025

Language: Английский

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Hunger games pattern search with elite opposite-based solution for solving complex engineering design problems

Evolving Systems, Journal Year: 2023, Volume and Issue: 15(3), P. 939 - 964

Published: July 29, 2023

Language: Английский

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Optimal Planning of PV Sources and D-STATCOM Devices with Network Reconfiguration Employing Modified Ant Lion Optimizer

Energies, Journal Year: 2024, Volume and Issue: 17(10), P. 2238 - 2238

Published: May 7, 2024

This research emphasizes a meta-heuristic modified ant lion optimizer (MALO) optimization approach for the simultaneous utilization of DSTATCOM devices and distributed photovoltaic (PV) sources with network reconfiguration in radial power distribution scheme. In reconfiguration, majority is based on constant model analysis. However, it noticed that load models have substantial impact PV device’s optimal size position. The effect (CP) polynomial (ZIP) growth insertion examined this work system planning. penetration levels considered investigation are 25%, 50%, 75%, 100%. principal objective to reduce total losses, enhance voltage magnitude profile at all buses, overall operating cost while adhering equality inequality constraints. proposed algorithm verified 118-node test systems. carried out planning upgrading high-voltage (HVDS) 317 nodes rural Bangalore Electricity Supply Company Limited (BESCOM) simulated results obtained method validated BAT techniques available literature. It observed IEEE 118-bus system, via placement sizing considering 25% level during loss reduction 41.47% 42.98% ZIP model. For 317-bus 11 kV 49.77% 59.34% growth. Similarly, 22 51.69% 55.75%

Language: Английский

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Investigation of Recent Metaheuristics Based Selective Harmonic Elimination Problem for Different Levels of Multilevel Inverters

Electronics, Journal Year: 2023, Volume and Issue: 12(4), P. 1058 - 1058

Published: Feb. 20, 2023

Multilevel inverters (MLI) are popular in high-power applications. MLIs generally configured to have switches reduced by switching techniques that eliminate low-order harmonics. The selective harmonic elimination (SHE) method, which significantly reduces the number of switching, determines optimal moments obtain desired output voltage and eliminates components. To solve SHE problem, classical methods primarily employed. disadvantages such high probability trapping locally solutions their dependence on initial controlling parameters. One solution overcome this problem is use metaheuristic algorithms. In study, firstly, 22 algorithms with different sources inspiration were used at levels MLIs, performances extensively analyzed. reveal method offers best solution, these first applied an 11-level MLI circuit, six determined as a result performance analysis. As evaluation, outstanding SPBO, BMO, GA, GWO, MFO, SPSA. application superior 7-, 11-, 15-, 19-level according IEEE 519—2014 standard, it has been shown BMO outperforms 7-level MLI, GA SPBO 15- terms THD, while quality, SPSA 15-level come forward.

Language: Английский

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Modified Bat Algorithm: a newly proposed approach for solving complex and real-world problems

Soft Computing, Journal Year: 2024, Volume and Issue: 28(13-14), P. 7983 - 7998

Published: July 1, 2024

Language: Английский

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