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An accurate flexible process planning using an adaptive genetic algorithm
The increasing demand for products and services due to globalization has quickly increased through the years. Under such circumstances, the...
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Cost-based hierarchy genetic algorithm for service scheduling in robot cloud platform
Service robot cloud platform is effective method to improve the intelligence of robots. An efficient cloud service scheduling algorithm is the basis...
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Deep features selection through genetic algorithm for cervical pre-cancerous cell classification
Cervical cancer affects more than 500,000 women in the world annually accounting for about 6-9% of all cancer cases, but, its tedious detection...
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Constructing small sample datasets with game mixed sampling and improved genetic algorithm
The issue of categorizing imbalanced data is becoming increasingly prevalent. While existing methodologies have demonstrated notable advancements in...
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Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm
In the modern era, there is a sudden rise in data due to the wide use of the web, social networks and so on. Now, it becomes difficult to explore...
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Accurate detection of coronavirus cases using deep learning with attention mechanism and genetic algorithm
The novel coronavirus disease has caused severe threats to the daily life and health of people all over the world. Hence, early detection and timely...
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Precise makespan optimization via hybrid genetic algorithm for scientific workflow scheduling problem
Task scheduling in scientific workflows represents an NP-hard problem due to the number of interdependent tasks, data transfers, and the possible...
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Efficient loss updated XGBoost with deep emended genetic algorithm for detecting online fraudulent transactions
In the fast-paced technological era, online financial transactions have gained widespread use as it offers significant merits to customers for easy...
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Genetic Algorithm Augmented Inception-Net based Image Classifier Accelerated on FPGA
Deep learning models for computer vision applications specifically and for machine learning generally are now the state of the art. The growth of...
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A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm
This paper introduces an efficient real-coded genetic algorithm (RCGA) evolved for constrained real-parameter optimization. This novel RCGA...
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Enhanced genetic algorithm with some heuristic principles for task graph scheduling
Multiprocessor systems with parallel computing play an important role in data processing. Considering the optimal use of existing computing systems,...
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GaSUME: A BERT-Covered Genetic Algorithm for Text Summarization
Automatic Text Summarization (ATS) is a fundamental task in natural language processing (NLP), it deals to reduce text size by deleting extraneous...
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Research on Art Design Education Based on Genetic Algorithm
In today’s society, with the improvement of people’s living standards and the acceleration of the pace of life, people’s consumption concept is...
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Spatial deep feature augmentation technique for FER using genetic algorithm
The generation of a large human-labelled facial expression dataset is challenging due to ambiguity in labelling the facial expression class, and...
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
The applications of the Internet of Things in different areas and the resources that demand these applications are on the increase. However, the...
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Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection
Intrusion detection systems play a critical role in the mitigation of cyber-attacks on the Internet of Things (IoT) environment. Due to the...
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An Improved BP Neural Network Based on Adaptive Genetic Algorithm
In order to improve the optimization effect of genetic algorithm on BP neural network, this paper proposes an improved BP neural network based on...
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A hybrid genetic-based task scheduling algorithm for cost-efficient workflow execution in heterogeneous cloud computing environment
Many businesses utilize cost-efficient cloud services to execute their industrial and scientific workflow applications. Business continuity is a very...
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Derived Multi-population Genetic Algorithm for Adaptive Fuzzy C-Means Clustering
Fuzzy C-Means (FCM) is a common data analysis method, but the clustering effect of this algorithm is easily affected by the initial clustering...
