Optimization based on the smart behavior of plants with its engineering applications: Ivy algorithm

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 295, P. 111850 - 111850

Published: April 22, 2024

Language: Английский

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Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 80(15), P. 22913 - 23017

Published: July 1, 2024

Language: Английский

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Love Evolution Algorithm: a stimulus–value–role theory-inspired evolutionary algorithm for global optimization

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 80(9), P. 12346 - 12407

Published: Feb. 12, 2024

Language: Английский

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Blood-sucking leech optimizer

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 195, P. 103696 - 103696

Published: June 15, 2024

Language: Английский

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Weighted average algorithm: a novel meta-heuristic optimization algorithm based on the weighted average position concept

Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: unknown, P. 112564 - 112564

Published: Oct. 1, 2024

Language: Английский

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Precise modeling of lithium-ion battery in industrial applications using Walrus optimization algorithm

Energy, Journal Year: 2024, Volume and Issue: 294, P. 130859 - 130859

Published: March 5, 2024

Language: Английский

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SDO: A novel sled dog-inspired optimizer for solving engineering problems

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 62, P. 102783 - 102783

Published: Aug. 28, 2024

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Performance of the Walrus Optimizer for solving an economic load dispatch problem

AIMS Mathematics, Journal Year: 2024, Volume and Issue: 9(4), P. 10095 - 10120

Published: Jan. 1, 2024

<abstract> <p>A new metaheuristic called the Walrus Optimizer (WO) is inspired by ways in which walruses move, roost, feed, spawn, gather, and flee response to important cues (safety danger signals). In this work, WO was used address economic load dispatch (ELD) issue, one of essential parts a power system. One type ELD designed reduce fuel consumption expenses. A variety methodologies were compare WO's performance order determine its reliability. These methods included rime-ice algorithm (RIME), moth search (MSA), snow ablation (SAO), chimp optimization (ChOA) for identical case study. We employed six scenarios: Six generators operating at two loads 700 1000 MW each first cases problem. For problem, second scenarios involved ten 2000 MW. Twenty 3000 five issue. Thirty 5000 The mismatch factor main cause problems. ideal value component should be close zero. Using approach, values 4.1922E−13 4.5119E−13 found generator units demand MW, respectively. metrics minimum, mean, maximum, standard deviation fitness function, procedures evaluated over thirty separate runs. outperformed all other algorithms, as seen results generated studies.</p> </abstract>

Language: Английский

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Parameters Estimation of Proton Exchange Membrane Fuel Cell Model Based on an Improved Walrus Optimization Algorithm

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 74979 - 74992

Published: Jan. 1, 2024

Proton Exchange Membrane Fuel Cells (PEMFCs) play a crucial role in the advancement of clean hydrogen vehicles. Their ability to convert into electricity makes them promising candidates replace conventional engines. However, optimizing their performance and efficiency necessitates accurate modeling techniques capable simulating behavior. In this context, paper proposes an advanced approach for precise parameter estimation PEMFC models. Employing Enhanced Walrus Optimization (EWO) algorithm integrated with Lévy flight exploration, tackles inherent nonlinearity systems. The technique aims minimize squared error between measured simulated terminal voltage, thereby ensuring superior accuracy robustness compared established algorithms. effectiveness proposed model is validated through comparisons theoretical simulations experimental measurements. findings demonstrate efficacy EWO algorithm, consistently outperforming previously published algorithms achieving notably lower errors. Moreover, incorporation flights enhances algorithm's capabilities, leading expedited convergence more estimations. Beyond facilitating estimation, enhanced strategy opens avenues refining design optimization strategies fuel cell research development. major contributions include enhancement WO evaluation accuracy, assessment model. By furnishing models evidence, paves way

Language: Английский

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Probabilistic optimal power flow in power systems with Renewable energy integration using Enhanced walrus optimization algorithm

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 102663 - 102663

Published: Feb. 1, 2024

This paper presents a novel approach to solve the Probabilistic Optimal Power Flow (POPF) problem using Enhanced Walrus Optimization (EWO) Algorithm. The proposed EWO is applied 30 and 118-bus IEEE systems, demonstrating its effectiveness in handling complexities of grid with renewable energy sources (RESs). algorithm effectively addresses uncertainties associated RES generation, ensuring system reliability minimizing generation costs. optimization method performs better than existing algorithms, achieving smooth speedy convergence high solution accuracy. research findings demonstrate that an efficient tool for tackling POPF power systems RESs. Moreover, methodology extensively clarified by sensitivity analyses. work demonstrates potential as viable integration-assisted optimization, providing opportunities more study into cutting-edge techniques.

Language: Английский

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