Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms
Sign Up to like & getrecommendations! 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
Optimum Seismic Design of 3D Irregular Steel Frames Using Recently Developed Metaheuristic Algorithms
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Joint Optimization of Production and Maintenance Using Monte Carlo Method and Metaheuristic Algorithms
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/3670495
Abstract: In the competitive business environment, manufacturers are seeking strategies to improve the product quality and the system reliability while reducing the costs. This paper addresses the problem of finding the optimal production and maintenance schedules… read more here.
Keywords: production; maintenance; production maintenance; monte carlo ... See more keywords
Applications of Metaheuristic Algorithms in Solar Air Heater Optimization: A Review of Recent Trends and Future Prospects
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Photoenergy"
DOI: 10.1155/2021/6672579
Abstract: A transition to solar energy systems is considered one of the most important alternatives to conventional fossil fuels. Until recently, solar air heaters (SAHs) were among the other solar energy systems that have been widely… read more here.
Keywords: applications metaheuristic; paper; metaheuristic algorithms; optimization ... See more keywords
A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
Sign Up to like & getrecommendations! Published in 2021 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v23.i2.pp1146-1158
Abstract: Phishing attack is a well-known cyber security attack that happens to many people around the world. The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. One… read more here.
Keywords: attack; comparative analysis; fuzzy; analysis metaheuristic ... See more keywords
Stochastic flexible flow shop scheduling problem with limited buffers and fixed interval preventive maintenance: a hybrid approach of simulation and metaheuristic algorithms
Sign Up to like & getrecommendations! Published in 2019 at "SIMULATION"
DOI: 10.1177/0037549718809542
Abstract: This study focused on the uncertain flexible flow shop scheduling problem with limited buffers when preventive maintenance is applied at fixed intervals. This issue has not been addressed in spite of widespread applications, due to… read more here.
Keywords: flow shop; metaheuristic algorithms; simulation; flexible flow ... See more keywords