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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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masterThesis -
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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
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Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…These have a white-box nature which gives the classification as well as the reason for it making them attractive to experts in the domain. In this thesis, we propose a novel heuristic based on Artificial Bee Colony (ABC) to optimize rule-based software quality prediction models. …”
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masterThesis -
5
ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation
Published 2022“…For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. …”
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A matrix-based damage assessment and recovery algorithm
Published 2014“…With all the preventive methods, malicious users still find new ways to overcome the system security and access and modify sensitive information. 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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7
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Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
Published 1997“…These properties of flexibility and general applicability, which are lacking in other heuristic algorithms, make the GA and SA attractive for automatic parallelization systems.…”
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
10
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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masterThesis -
11
Efficient methods and techniques for the open-shop scheduling problem. (c2006)
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masterThesis -
12
A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation
Published 2021“…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …”
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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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A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
Published 2016“…Big initiatives such as the International Hapmap Project and the 1000 Genome project are making use of these technologies to provide the scientific community with a detailed genetic reference from different populations. …”
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15
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A localized navigation algorithm for radiation evasion for nuclear facilities: Optimizing the "Radiation Evasion" criterion: Part I
Published 2013“…It is also tested for the case when more information, beyond nearest neighbors, is made available; here, we test its operation for different numbers of step look-ahead. We verify algorithm performance by means of simulations, whereby navigational paths are calculated for different radiation fields.…”
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17
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…<p dir="ltr">Air pollution poses significant threats to human health and the environment, making effective monitoring increasingly essential. …”
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High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
Published 2025“…The trigonometric function-based sine cosine algorithm (SCA) may solve such problems, but it traps in local optima, making it inappropriate for larger optimization tasks. …”
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Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT
Published 2021“…It is mainly due to a single authentication factor, and the poor adaptation to regular increases in the number of users and different requirements that make the current authentication mechanism suffer a lot in IIoT. …”
