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DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
Published 2022“…DG-means exhibited superior performance when compared to the other algorithms.…”
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masterThesis -
2
Squirrel Search Algorithm for Portfolio Optimization
Published 2019“…The inclusion of real-life constraints to the problem has led to the introduction of the extended Mean-Variance model. However, the successes of nature-inspired algorithms in hard computational optimization problems have encouraged researchers to design and apply these algorithms for a variety of optimization problems. …”
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masterThesis -
3
How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation
Published 2023“…We found researchers employing 46 different algorithms and 14 different evaluation metrics. …”
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022“…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …”
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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
Published 2016“…Aiming to tackle these obstacles, we have derived a new computational method in order to identify conserved regions of Single Nucleotide Polymorphisms (SNPs) on autosomal chromosomes that are differentiable in different populations. Our algorithm first performs a feature selection step to define differentiable SNPs. …”
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masterThesis -
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
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doctoralThesis -
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
Published 2021“…Experiments are conducted to evaluate the performance of the RFBXSQLQC technique using the IIT Bombay dataset using the metrics like antipattern detection accuracy, time complexity, false-positive rate, and computational overhead with respect to the differing number of queries. The results revealed that the RFBXSQLQC technique outperforms the existing algorithms by 19% with pattern detection accuracy, 34% minimized time complexity, 64% false-positive rate, and 31% in terms of computational overhead.…”
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Parallel genetic algorithm for disease-gene association
Published 2011“…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…”
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conferenceObject -
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The Role of KM in Enhancing AI Algorithms and Systems
Published 2020“…The review looks into 16 studies collected from a different database from 2014 to 2019. The main finding of the research was the massive impact of some KM processes like knowledge acquisition and knowledge creation on the different types of AI systems and algorithms to give an additional option for organizations during the implementation. …”
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Spider monkey optimizations: application review and results
Published 2024“…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …”
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Social spider optimization algorithm: survey and new applications
Published 2024“…This algorithm has been developed over time, resulting in many versions besides theories and findings. …”
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A matrix-based damage assessment and recovery algorithm
Published 2014“…To make the process of damage assessment and recovery fast and effective (not scanning the entire log), researchers have proposed different methods for segmenting the log file, and accordingly presented different damage assessment and recovery algorithms. …”
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conferenceObject -
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…In finding the solution to issues related to multiclass feature selection, only articles on metaheuristic algorithms used for multiclass feature selection problems from the year 2000 to 2022 were reviewed about their different categories and detailed descriptions. …”
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A fast exact sequential algorithm for the partial digest problem
Published 2016“…</p><h3>Conclusion</h3><p dir="ltr">Our algorithm is a fast tool to find the exact solution for the partial digest problem. …”
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
Published 2023“…Simulations and comparisons show the ability of those evolutionary-based algorithms to solve this kind of problem efficiently. …”
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…In addition, three distinct optimization techniques are used to find the optimum ANN training algorithm: Levenberg–Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient. …”
