Results 71 to 80 of about 47,854 (119)

Application of Genetic Algorithms (GA) for the Optimization of Riveted Joints

Materials Testing, 2013
Abstract Genetic algorithms have an effective search technique in a predefined research space based on natural selection theory. They use the same combination of selection, recombination, and mutation to evolve a solution to a problem.
Baskal, Tamer, Nursoy, Mustafa, Esme, Ugur, Kulekci, Mustafa Kemal   +3 more
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Genetic Algorithms (GAs) and Their Mathematical Foundations

2021
In 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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Forking Genetic Algorithms: GAs with Search Space Division Schemes

Evolutionary Computation, 1997
In this article, we propose a new type of genetic algorithm (GA), the forking GA (fGA), which divides the whole search space into subspaces, depending on the convergence status of the population and the solutions obtained so far. The fGA is intended to deal with multimodal problems that are difficult to solve using conventional GAs.
Shigeyoshi Tsutsui, Yoshiji Fujimoto, Ashish Ghosh   +2 more
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QCs scheduling scheme of genetic algorithm (GA) and improved firefly algorithm (FA)

Cluster Computing, 2018
As an important part of container logistics, quay cranes (QCs) are crucial equipment in multimodal container transportation. The scheduling and allocation of QCs determine the operational efficiency of container terminals. By analyzing the way quay cranes are operated, this paper establishes a mixed-integer dynamic rolling-horizon programming model for
Liangcai Dong, Yang Yang 0058, Siyun Sun
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Gas turbine preventive maintenance optimization using genetic algorithm

International Journal of System Assurance Engineering and Management, 2017
The 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, Hamed Sabouhi, Jafar Hushmand, Ahmad Hallaj, Hiwa Khaledi, Mojtaba Mohammadpour   +5 more
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Genetic algorithms (GAs) to evolve multiple-agent cooperative systems

Artificial Life and Robotics, 1999
In this paper, a microrobot soccer-playing game, such as that of MIROSOT (Microrobot World Cup Soccer Tournament), is adopted as a standard test bed for research on multiple-agent cooperative systems. It is considerably complex and requires expertise in several difficult research topics, such as mobile microrobot design, motor control, sensor ...
Masanori Sugisaka, Xiaoshu Wang, Lee, JJ Lee, Ju-Jang   +2 more
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Some Other Applications of Genetic Algorithms (GAs)

2021
As 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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The Forecasting of China Natural Gas Consumption Based on Genetic Algorithm

2009 Fifth International Joint Conference on INC, IMS and IDC, 2009
Since the natural gas is clean, environmentally friendly and highly effective and its strategic status is increasingly prominent, it is in urgent demand to precisely predict natural gas consumption.In our country, a large number of models to predict natural gas consumption have emerged, but all with unavoidable limitations as any single model.
Rui Chen 0007, Jian Wang 0037, Li Wang 0044, Ningjie Yu, Pengyan Zhang   +4 more
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Q-GA: a modified genetic algorithm for the design of phase equalizers

ISCAS 2001. The 2001 IEEE International Symposium on Circuits and Systems (Cat. No.01CH37196), 2002
This paper proposes the use of a modified genetic algorithm (Q-GA) for designing phase equalizers using the impulse response symmetry error criterion. Such an algorithm is obtained by systematic division of the search space into subspaces, in which a small population evolves, regarding a reduced number of generations.
Delmar Broglio Carvalho, Sidnei Noceti Filho, Rui Seara   +2 more
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Genetic Algorithms (GAs) and Stock Trading Systems

2021
Recent 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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