DETDO: An adaptive hybrid dandelion optimizer for engineering optimization

Advanced Engineering Informatics, Journal Year: 2023, Volume and Issue: 57, P. 102004 - 102004

Published: June 8, 2023

Language: Английский

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Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Journal Of Big Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Jan. 2, 2024

Abstract Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal multimodal problems. However, convergence speed performance still have some deficiencies when complex multidimensional Therefore, this paper proposes hybrid method called HBWO combining Quasi-oppositional based learning (QOBL), adaptive spiral predation strategy, Nelder-Mead simplex search (NM). Firstly, initialization phase, QOBL strategy introduced. This reconstructs initial spatial position population by pairwise comparisons to obtain more prosperous higher quality population. Subsequently, an designed exploration exploitation phases. The first learns optimal individual positions dimensions through avoid loss local optimality. At same time, movement motivated cosine factor introduced maintain balance between exploitation. Finally, NM added. It corrects multiple scaling methods improve accurately efficiently. verified utilizing CEC2017 CEC2019 test functions. Meanwhile, superiority six engineering design examples. experimental results show has feasibility effectiveness practical problems than methods.

Language: Английский

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A novel traffic flow prediction model: Variable order fractional grey model based on an improved grey evolution algorithm

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 224, P. 119943 - 119943

Published: March 23, 2023

Language: Английский

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Improving Whale Optimization Algorithm with Elite Strategy and Its Application to Engineering-Design and Cloud Task Scheduling Problems

Cognitive Computation, Journal Year: 2023, Volume and Issue: 15(5), P. 1497 - 1525

Published: Jan. 23, 2023

Language: Английский

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Exploring solar energy systems: A comparative study of optimization algorithms, MPPTs, and controllers

IET Control Theory and Applications, Journal Year: 2024, Volume and Issue: 18(7), P. 887 - 920

Published: Feb. 10, 2024

Abstract This study elucidates the use of optimization algorithms to identify controller parameters employed in adjusting current and voltage values loads powered by solar energy systems battery groups. Parameters for these controllers were independently derived using a combination ant colony with Levy flight, hybrid firefly‐particle swarm optimization, gravitation search algorithm‐particle alongside implementation Jaya whale algorithms. The results from each method juxtaposed thorough analysis. In addition, three distinct Maximum Power Point Tracker (MPPT) system: perturbation observation, open circuit voltage, incremental conductance (IC). To assess system’s adaptability real‐world conditions, it was tested against varying temperatures sunlight levels. Moreover, potential changes considered load. efficacy examined altering both environment effectiveness referring integral time‐weighted absolute error value. system simulated MATLAB/Simulink software. demonstrates that fractional‐order PID achieves most effective results, algorithm provides best parameters, IC technique exhibits highest performance MPPT.

Language: Английский

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Improved Whale Optimization Algorithm towards Precise State-of-charge Estimation of Lithium-ion Batteries via Optimizing LSTM

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133185 - 133185

Published: Sept. 1, 2024

Language: Английский

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Effective LSTMs with seasonal-trend decomposition and adaptive learning and niching-based backtracking search algorithm for time series forecasting

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 236, P. 121202 - 121202

Published: Aug. 26, 2023

Language: Английский

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Novel memetic of beluga whale optimization with self-adaptive exploration–exploitation balance for global optimization and engineering problems

Soft Computing, Journal Year: 2023, Volume and Issue: 27(19), P. 13951 - 13989

Published: June 6, 2023

Abstract A population-based optimizer called beluga whale optimization (BWO) depicts behavioral patterns of water aerobics, foraging, and diving whales. BWO runs effectively, nevertheless it retains numerous deficiencies that has to be strengthened. Premature convergence a disparity between exploitation exploration are some these challenges. Furthermore, the absence transfer parameter in typical when moving from phase direct impact on algorithm’s performance. This work proposes novel modified (mBWO) incorporates an elite evolution strategy, randomization control factor, transition factor exploitation. The strategy preserves top candidates for subsequent generation so helps generate effective solutions with meaningful differences them prevent settling into local maxima. random mutation improves search offers more crucial ability prevents stagnation optimum. mBWO controlling algorithm away optima region during BWO. Gaussian (GM) acts initial position vector produce new location. Because this, majority altered operators scattered close original position, which is comparable carrying out small region. method can now depart optimal zone because this modification, also increases optimizer’s precision traverses space using placements, lead zone. Transition (TF) used make transitions agents gradually concerning amount time required. undergoes comparison 10 additional optimizers 29 CEC2017 functions. Eight engineering problems addressed by mBWO, involving design welded beams, three-bar trusses, tension/compression springs, speed reducers, best industrial refrigeration systems, pressure vessel challenges, cantilever beam designs, multi-product batch plants. In both constrained unconstrained settings, results preformed superior those other methods.

Language: Английский

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IYDSE: Ameliorated Young’s double-slit experiment optimizer for applied mechanics and engineering

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 412, P. 116062 - 116062

Published: May 4, 2023

Language: Английский

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A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(15), P. 46087 - 46159

Published: Oct. 21, 2023

Language: Английский

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