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data optimization » dog optimization (Expand Search), swarm optimization (Expand Search), based optimization (Expand Search)
data selection » data injection (Expand Search)
data optimization » dog optimization (Expand Search), swarm optimization (Expand Search), based optimization (Expand Search)
data selection » data injection (Expand Search)
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61
An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. We use an ant colony optimization algorithm in the adaptation process. …”
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62
The buffered work-pool approach for search-tree based optimization algorithms
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conferenceObject -
63
Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
doctoralThesis -
64
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
Published 2024“…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …”
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65
Haplotype inference by pure-parsimony using revamped delayed haplotype selection. (c2011)
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masterThesis -
66
RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
Published 2020“…The optimizer allocates the subtasks of data analytic tasks to the most suitable platforms. …”
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67
A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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masterThesis -
68
Bee colony algorithm for assigning proctors to exams. (c2013)
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masterThesis -
69
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70
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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masterThesis -
71
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
Published 2016“…Our algorithm first performs a feature selection step to define differentiable SNPs. …”
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masterThesis -
72
Efficient Approximate Conformance Checking Using Trie Data Structures
Published 2021“…We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …”
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73
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …”
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75
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
Published 2019“…The proposed model achieves better classification accuracy compared to the recently reported work when validated on SJTU SEED and DEAP data sets. For optimal classification performance, we use a support vector machine (SVM) and k-nearest neighbor (k-NN) to classify the extracted features for the different emotional states of the two data sets. …”
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76
Revolutionizing sustainable supply chain management: A review of metaheuristics
Published 2023“…It then introduces the concept of metaheuristics and describes their use in solving complex optimization problems. The paper reviews various metaheuristics algorithms applied to sustainable supply chain management and analyzes their effectiveness in addressing the challenges of SSCM. …”
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77
Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm
Published 2024“…However, accurate modelling and identification of PV cell parameters pose challenges, prompting the adoption of meta‐heuristic optimization algorithms. This work explores the limitations of existing algorithms and introduces a novel approach, the bio‐dynamics grasshopper optimization algorithm (BDGOA). …”
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78
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
Published 2023“…This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. …”
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79
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
Published 2020“…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …”
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80
Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
Published 2024“…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …”
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