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Some Other Applications of Genetic Algorithms (GAs)
2021As we had already seen that genetic algorithms (GAs) are smart in their working. Here, the authors explore the rich working of genetic algorithms (GAs) in various diversified fields. Until now, they had discussed the historical nature of genetic algorithms (GAs).
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Genetic Algorithm (GA)-Based NPC Making
2015Non-playable characters have always been a special part of video games. Their appearance is more pronounced in role-playing games like the Elder Scrolls series and the Fallout series or in the open-world games like the Grand Theft Auto series or the Assassins Creed series. The presence of these characters is either to provide the player with objectives
Umair Azfar Khan, Yoshihiro Okada
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Genetic Algorithms (GAs) and Stock Trading Systems
2021Recent advances and improvements in hardware and software technology have benefitted research in the field of finance. It has made research even more interesting. A large amount of data can be processed with lightning speed. Investors are now eagerly looking for small models and algorithms of a lucrative value and with better accuracy.
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Gas turbine preventive maintenance optimization using genetic algorithm
International Journal of System Assurance Engineering and Management, 2017The tremendous impact of an optimized maintenance program on system overall cost and reliability leads various industrial managers and owners to seek an intelligent tool for maintenance decision making. Gas turbine industry is no exception, since it is of the most expensive and critical components in both power plant and oil and gas industries. In this
Fatemeh Moinian +5 more
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Genetic Algorithms (GAs) and Their Mathematical Foundations
2021In this chapter, the authors back GA procedures using old mathematical facts. More rigorous working of mathematical facts about GAs are raised in this chapter. In fact, there are a large number of similarities in the population of strings. The authors see how GA exploits these similarities to generate good solutions.
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Electrocardiographic signal analysis using genetic algorithms (GAs)
Computers in Cardiology 1996, 2002This work proposes a method for analysis of high resolution electrocardiographic signals (HRECG) based on interpretation of polar coordinate maps (PCM), which are generated using polynomial approximations obtained through genetic algorithms (GAs). Therefore, a polynomial can be obtained through GAs that transform a cardiac signal (of a particular ...
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GA-Ensemble: a genetic algorithm for robust ensembles
Computational Statistics, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oh, Dong-Yop, Gray, J. Brian
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Gas Production Rate Optimization by Genetic Algorithm
Energy Sources, 2001In order to satisfy the excessive demand during the heating days, the excessive supply during the nonheating days should be stored and used then. Underground gas storage is the process accomplishing this task. A detailed study of the reservoir and model construction will enable correct forecasts and thus the successful operation of the underground ...
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Genetic Algorithm (GA) Methodology and Its Internal Working
2021Many practitioners are shy with implementing GAs. Due to this, a lot of researchers avoid using GAs as problem-solving techniques. It is desirable that an implementer of GA must be familiar in working with high-level computer languages. Implementation of GA involves complex coding and intricate computations which are of a repetitive nature.
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A genetic algorithm for the 1D electron gas
Physica A: Statistical Mechanics and its Applications, 2008Abstract We show how to apply a genetic algorithm to describe the homogeneous electron gas. For simplicity we consider just the 1D case. The pair correlation function so obtained is compared with those found by using variational Monte Carlo and quantum hypernetted chain calculations and reported for the first time in this paper.
César O. Stoico +2 more
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