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driven optimization » level optimization (Expand Search), spider optimization (Expand Search)
lead optimization » ahead optimization (Expand Search), level optimization (Expand Search), global optimization (Expand Search)
driven optimization » level optimization (Expand Search), spider optimization (Expand Search)
lead optimization » ahead optimization (Expand Search), level optimization (Expand Search), global optimization (Expand Search)
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1
Machine Learning Model for a Sustainable Drilling Process
Published 2023Get full text
doctoralThesis -
2
A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
Published 2025Get full text
doctoralThesis -
3
An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification
Published 2015“…Subsequently a simple but effective global MPPT algorithm is proposed to track the MPP in the overallP-Icurve obtained from the identified PV array model, ensuring that the converter works at the MPP. …”
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Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023“…In certain situations, the requirement for clusters to be cliques was deemed excessively stringent, leading to the proposal of alternative relaxed clique models for dense subgraphs, such as s-club. …”
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Get full text
masterThesis -
5
Cooperative clustering models for Vehicular ad hoc networks. (c2013)
Published 2013Get full text
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masterThesis -
6
Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures
Published 2021“…The technology stack was also enhanced with three new algorithms and five protocols. The proposed solution was optimized using the iterative four-objective cycle based on previous primary phase results. …”
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7
On-site workshop investment problem: A novel mathematical approach and solution procedure
Published 2023“…Two new (linear) mathematical programming models are proposed for MOSWIPT. Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …”
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