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

The Journal of Supercomputing, Год журнала: 2024, Номер 80(15), С. 22913 - 23017

Опубликована: Июль 1, 2024

Язык: Английский

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Application of the 2-archive multi-objective cuckoo search algorithm for structure optimization

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Дек. 30, 2024

The study suggests a better multi-objective optimization method called 2-Archive Multi-Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss structures and six ZDT test functions. aims minimize both mass compliance simultaneously. MOCS2arc an advanced version of the traditional (MOCS) algorithm, enhanced through dual archive strategy that significantly improves solution diversity performance. To evaluate effectiveness MOCS2arc, we conducted extensive comparisons with several established algorithms: MOSCA, MODA, MOWHO, MOMFO, MOMPA, NSGA-II, DEMO, MOCS. Such comparison has been made various performance metrics compare benchmark efficacy proposed algorithm. These comprehensively assess algorithms' abilities generate diverse optimal solutions. statistical results demonstrate superior evidenced by Additionally, Friedman's & Wilcoxon's corroborate finding consistently delivers compared others. show highly effective improved algorithm for structure optimization, offering significant promising improvements over existing methods.

Язык: Английский

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The Pine Cone Optimization Algorithm (PCOA)

Biomimetics, Год журнала: 2024, Номер 9(2), С. 91 - 91

Опубликована: Фев. 1, 2024

The present study introduces a novel nature-inspired optimizer called the Pine Cone Optimization algorithm (PCOA) for solving science and engineering problems. PCOA is designed based on different mechanisms of pine tree reproduction, including pollination cone dispersal by gravity animals. It employs new powerful operators to simulate mentioned mechanisms. performance analyzed using classic benchmark functions, CEC017 CEC2019 as mathematical problems CEC2006 CEC2011 design In terms accuracy, results show superiority well-known algorithms (PSO, DE, WOA) (AVOA, RW_GWO, HHO, GBO). are competitive with state-of-the-art (LSHADE EBOwithCMAR). convergence speed time complexity, reasonable. According Friedman test, PCOA’s rank 1.68 9.42 percent better than EBOwithCMAR (second-best algorithm) LSHADE (third-best algorithm), respectively. authors recommend science, engineering, industrial societies complex optimization

Язык: Английский

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Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training

Alexandria Engineering Journal, Год журнала: 2024, Номер 110, С. 77 - 98

Опубликована: Окт. 7, 2024

Язык: Английский

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Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations

Cognitive Computation, Год журнала: 2020, Номер 12(5), С. 897 - 939

Опубликована: Июль 5, 2020

Язык: Английский

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An innovative complex-valued encoding black-winged kite algorithm for global optimization

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 6, 2025

Язык: Английский

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Multi-strategy fusion pelican optimization algorithm and logic operation ensemble of transfer functions for high-dimensional feature selection problems

International Journal of Machine Learning and Cybernetics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 17, 2025

Язык: Английский

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Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction

Cognitive Computation, Год журнала: 2025, Номер 17(1)

Опубликована: Янв. 30, 2025

Язык: Английский

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An efficient prediction of punching shear strength in reinforced concrete slabs through boosting methods and metaheuristic algorithms

Structures, Год журнала: 2025, Номер 74, С. 108519 - 108519

Опубликована: Фев. 24, 2025

Язык: Английский

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Dynamic time-varying transfer function for cancer gene expression data feature selection problem

Journal Of Big Data, Год журнала: 2025, Номер 12(1)

Опубликована: Март 1, 2025

Язык: Английский

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