Analysis of Cryptocurrency Using a Genetic Algorithm (GA)
Finance, in particular, is tightly correlated with information-technology development. Digital currency or cryptocurrency is the outcome of the advancement of financial technology. As a means of payment over the internet, digital currencies are beginning to be widely used.
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GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms
Evolutionary techniques are one of the most successful paradigms in the field of optimization. In this paper we present a new approach, named GAEDA, which is a new hybrid algorithm based on genetic and estimation of distribution algorithms. The original objective is to get benefits from both approaches.
Peña Sánchez, José María +5 more
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Understanding Machining Process Parameters and Optimization of High-Speed Turning of NiTi SMA Using Response Surface Method (RSM) and Genetic Algorithm (GA). [PDF]
Zhao Y, Cui L, Sivalingam V, Sun J.
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Warpage Optimisation on the Moulded Part with Straight Drilled and Conformal Cooling Channels Using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches. [PDF]
Mohd Hanid MH +9 more
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Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design
Molecular discovery has brought great benefits to the chemical industry. Various molecule design techniques are developed to identify molecules with desirable properties. Traditional optimization methods, such as genetic algorithms, continue to achieve state-of-the-art results across multiple molecular design benchmarks.
Debadyuti Mukherjee +4 more
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Genetic Drift and its Effects on the Performance of Genetic Algorithm(GA)
Ullah, S, Masood, M
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Genetic algorithms (GA) for adaptable design
This thesis discusses the process of implementing and testing of a creative web element design system using a combination of genetic algorithms and K-nearest neighbor classification. Classification will be used as a learning mechanism to give the system the ability to absorb quality measures in regards to visual aesthetics, and utilize this knowledge to ...
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Modeling and application of genetic algorithm (GA) approach to
This study deals with the modeling and developing the energy input estimation equations in order to estimate the future projections based on genetic algorithm ( GA) notion. In this regard, the GA future prediction of total energy input estimation model (GAFPTEIEM) is used to better estimate the future energy input demand based on the economic and ...
Canyurt, OE +3 more
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Non-destructive yield estimation of onion and garlic using UAV-based hyperspectral imaging and hybrid machine learning models. [PDF]
Su Y +6 more
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Prediction of compressive strength of recycled concrete cylinders reinforced with fiber-reinforced polymer using a combined genetic algorithm and neural network approach. [PDF]
Khosravi H, Pour MM, Bahram M.
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