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   Articles with "metaheuristic algorithms" as a keyword



Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms

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recommendations! Published in 2017 at "Evolutionary Intelligence"

DOI: 10.1007/s12065-017-0152-y

Abstract: Multilevel thresholding is one of the most broadly used approaches to image segmentation. However, the traditional techniques of multilevel thresholding are time-consuming, especially when the number of the threshold values is high. Thus, population-based metaheuristic… read more here.

Keywords: image; population based; image thresholding; metaheuristic algorithms ... See more keywords

Comprehensive analysis of optimal power flow using recent metaheuristic algorithms

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-58565-y

Abstract: This paper provides six metaheuristic algorithms, namely Fast Cuckoo Search (FCS), Salp Swarm Algorithm (SSA), Dynamic control Cuckoo search (DCCS), Gradient-Based Optimizer (GBO), Northern Goshawk Optimization (NGO), Opposition Flow Direction Algorithm (OFDA) to efficiently solve… read more here.

Keywords: optimal power; metaheuristic algorithms; power flow; flow ... See more keywords

Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-63908-w

Abstract: Accurate river streamflow prediction is pivotal for effective resource planning and flood risk management. Traditional river streamflow forecasting models encounter challenges such as nonlinearity, stochastic behavior, and convergence reliability. To overcome these, we introduce novel… read more here.

Keywords: extreme learning; metaheuristic algorithms; streamflow prediction; integrated metaheuristic ... See more keywords
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Optimum Seismic Design of 3D Irregular Steel Frames Using Recently Developed Metaheuristic Algorithms

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recommendations! Published in 2018 at "Journal of Computing in Civil Engineering"

DOI: 10.1061/(asce)cp.1943-5487.0000760

Abstract: AbstractThe present study is concerned with optimal design of steel frames under seismic loads based on response spectra. Four metaheuristic algorithms, consisting of colliding-bodies optimization ... read more here.

Keywords: metaheuristic algorithms; steel frames; optimum seismic; seismic design ... See more keywords

Improvement of the computational efficiency of metaheuristic algorithms for the crack detection of cantilever beams using hybrid methods

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recommendations! Published in 2021 at "Engineering Optimization"

DOI: 10.1080/0305215x.2021.1919887

Abstract: This study examines the capability of various optimization algorithms and proposes novel hybrid algorithms for more precise prediction of open-edge cracks in cantilever beams. The natural frequenci... read more here.

Keywords: improvement computational; metaheuristic algorithms; cantilever beams; efficiency metaheuristic ... See more keywords

KPLS Optimization With Nature-Inspired Metaheuristic Algorithms

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3019771

Abstract: Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function… read more here.

Keywords: nature inspired; optimization; metaheuristic algorithms; inspired metaheuristic ... See more keywords

Efficient Stochastic Model for Operational Availability Optimization of Cooling Tower using Metaheuristic Algorithms

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3143541

Abstract: Metaheuristic algorithms are extensively utilized to find solutions and optimize complex industrial systems’ performance. In this paper, metaheuristic algorithms are utilized to predict the optimum value of the operational availability of a cooling tower in… read more here.

Keywords: metaheuristic algorithms; efficient stochastic; availability; stochastic model ... See more keywords

A Feature-Weighting Approach Using Metaheuristic Algorithms to Evaluate the Performance of Handball Goalkeepers

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3156120

Abstract: Handball experts agree that the most crucial position in a handball match is that of the goalkeeper. Their performance can be a good predictor of a team’s ranking in tournaments. Despite this, few studies have… read more here.

Keywords: handball; handball goalkeepers; metaheuristic algorithms; feature weighting ... See more keywords

Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3165814

Abstract: Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers… read more here.

Keywords: classification; metaheuristic algorithms; wrapper hybrid; text classification ... See more keywords

Metaheuristic Algorithms for Solar Radiation Prediction: A Systematic Analysis

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3429073

Abstract: In the contemporary world, where the escalating demand for energy and the imperative for sustainable sources, notably solar energy, have taken precedence, the investigation into solar radiation (SR) has become indispensable. Characterized by its intermittency… read more here.

Keywords: energy; prediction; solar radiation; metaheuristic algorithms ... See more keywords

Multi-Parameter Optimization Using Metaheuristic Algorithms to Improve Uncrewed Aerial Vehicles’ Wireless Communications: A Performance Analysis

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3576109

Abstract: Uncrewed aerial vehicles (UAVs) require robust communication for operational reliability. Recent research has explored artificial intelligence techniques, particularly metaheuristic algorithms, to address this challenge. However, studies on enhancing communication robustness through metaheuristic multi-parameter optimization along… read more here.

Keywords: parameter optimization; uncrewed aerial; metaheuristic algorithms; approach ... See more keywords