Results 221 to 230 of about 55,613 (263)

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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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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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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Optimisation of the gas-exchange system of combustion engines by Genetic Algorithm

2009 4th International Conference on Autonomous Robots and Agents, 2009
Current techniques for the optimisation of combustion engine gas-exchange systems still predominantly use trial and error. This paper proposes a new method for the optimisation of these systems through the use of modified Genetic Algorithm techniques, principally a variable length chromosome encoding.
Colin D. Rose, Stephen R. Marsland, Don Law   +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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Estimation of Computational Complexity of Combinatorial-Genetic Algorithm COMBI-GA

2019 9th International Conference on Advanced Computer Information Technologies (ACIT), 2019
The article presents a description of the combinatorial-genetic algorithm COMBI-GA as well as results of theoretical estimation of its computational complexity and numerical comparison of its effectiveness with known algorithms COMBI, MULTI and LASSO in test tasks.
Olha Moroz, Volodymyr Stepashko
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Genetic Algorithm (GA)-Based NPC Making

2015
Non-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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Intelligent bionic genetic algorithm (IB-GA) and its convergence

Expert Systems with Applications, 2011
As a new kind of intelligence optimization method, genetic algorithms, with the features of simple structure and strong adaptability, achieves great success in many real applications. However, it has many shortcomings such as a greater computation complexity and more chance of being trapped in local states.
Fachao Li 0001, Li Da Xu, Chenxia Jin, Hong Wang   +3 more
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GA-Net: A Genetic Algorithm for Community Detection in Social Networks

2008
The problem of community structure detection in complex networks has been intensively investigated in recent years. In this paper we propose a genetic based approach to discover communities in social networks. The algorithm optimizes a simple but efficacious fitness function able to identify densely connected groups of nodes with sparse connections ...
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Gas Production Rate Optimization by Genetic Algorithm

Energy Sources, 2001
In 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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