Search Results - "metaheuristic algorithm"
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Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations
Published 2014“…To achieve the best allocation, optimization methods, such as metaheuristic algorithms are commonly used. This research compares the performances of various metaheuristic algorithms to optimize tool capacity allocation in two case studies. …”
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Parallel metaheuristic algorithm for route planning using CUDA
Published 2025“…This research will be focusing on developing a Parallel Metaheuristic Algorithm for Route Planning using CUDA to improve the efficiency and performance of route planning. …”
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Advances of metaheuristic algorithms in training neural networks for industrial applications
Published 2023Article -
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Development and applications of metaheuristic algorithms in engineering design and structural optimization / Ali Sadollah
Published 2013“…Metaheuristic algorithms have been extensively used in numerous domains especially in engineering. …”
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Metaheuristic algorithms for feature selection (2014–2024)
Published 2025“…This study seeks to discuss the metaheuristic algorithms for feature selection and responds to questions in the process. …”
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On the exploration and exploitation in popular swarm-based metaheuristic algorithms
Published 2018“…It is obvious from wider spectrum of successful applications that metaheuristic algorithms are potential solutions to hard optimization problems. …”
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Metaheuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. …”
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Review of Nature Inspired Metaheuristic Algorithm Selection for Combinatorial t-way Testing
Published 2022“…Metaheuristic algorithm is a very important area of research that continuously improve in solving optimization problems. …”
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A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
Published 2021“…The optimization method derives from the metaheuristic algorithm. Therefore, the aim of this study is to make a comparative analysis between the metaheuristic algorithms in fuzzy modelling. …”
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A Systematic Review of Metaheuristic Algorithms in Human Activity Recognition : Applications, Trends, and Challenges
Published 2025“…Metaheuristic algorithms have emerged as promising techniques for optimizing human activity recognition (HAR) systems. …”
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Metaheuristic Algorithms and Neural Networks in Hydrology
Published 2024“…This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artificial neural networks (ANNs) in hydrology. …”
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Assessment of integrated assembly sequence planning and line balancing optimization using metaheuristic algorithms
Published 2024“…In this paper, the performance of six different metaheuristic algorithms for optimizing integrated ASP and ALB are compared. …”
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Component-wise analysis of metaheuristic algorithms for novel fuzzy-meta classifier
Published 2018“…This leaves several critical questions unanswered due to black-box issue that does not reveal why certain metaheuristic algorithms performed better on some problems and not on others. …”
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Comparative study of five metaheuristic algorithms for team formation problem
Published 2021“…The CSA was found to be the more effective metaheuristic algorithm for the Covid19 team formation problem from the optimal results in terms of overall solution quality and runtime efficiency.…”
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Optimization of economic lot scheduling problem with backordering and shelf-life considerations using calibrated metaheuristic algorithms
Published 2015“…The computational performance and statistical optimization results show the effectiveness and superiority of the metaheuristic algorithms over other reported methods in the literature. …”
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Research book on metaheuristic algorithms and machine learning techniques in energy and power systems
Published 2025“…This research book is a culmination of scholarly work supported by a research grant, aimed at advancing the application of metaheuristic algorithms and machine learning techniques in solving complex problems in energy and power systems. …”
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