Results 201 to 210 of about 354,673 (256)
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hGRGA: A scalable genetic algorithm using homologous gene schema replacement
Swarm and Evolutionary Computation, 2017Abstract In this article, we propose a new evolutionary algorithm, referred as h omologous G ene R eplacement G enetic A lgorithm (hGRGA) that includes a novel and generic operator called h omologous G ene R eplacement (hGR). The hGR operator improves the chromosomes in gene level to promote their overall functionality.
Sumaiya Iqbal, Md Tamjidul Hoque
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Implementation of Schema Learning Optimized Cultural Algorithms in Ceramic Art Innovative Design
International Conference on Intelligent Computation Technology and Automation, 2019Current ceramic art design mode has not realized the all-round advancement of network technology, which has caused multiple classical ceramic problems, and hindered the future development of ceramic art design mode to a large extent.
Jintian Zhou
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BSP‐GA: A new Genetic Algorithm for System Optimization and Excellent Schema Selection
Systems Research and Behavioral Science, 2014The significance of Internet‐of‐Things to Supply Chain Management has been dramatically increasing. The performance of supply chain based on Internet‐of‐Things is largely dependent on its optimization. Genetic algorithms (GAs) are important intelligent methods for complex system optimization problems, but they have some internal drawbacks such as ...
Chenxia Jin +4 more
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Proceedings. International Conference on Power System Technology, 2003
A novel distribution network reconfiguration algorithm, named core schema genetic shortest-path algorithm (CSGSA) is proposed in this paper. It is based on the loads combination method. CSGSA consists of two steps: (1) searching for the optimal power supply paths for a sequence of loads one by one using shortest-path algorithm, and forming a core ...
null Yixin Yu, null Jianzhong Wu
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A novel distribution network reconfiguration algorithm, named core schema genetic shortest-path algorithm (CSGSA) is proposed in this paper. It is based on the loads combination method. CSGSA consists of two steps: (1) searching for the optimal power supply paths for a sequence of loads one by one using shortest-path algorithm, and forming a core ...
null Yixin Yu, null Jianzhong Wu
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International Journal of Mobile Human Computer Interaction, 2014
The recent advances in the mobile environment, such as multi-touch gestures paradigm, introduce new challenges for the interaction designers in producing the best-suited final prototype. Moreover, the short delivery-time pressure of the current mobile market makes it harder to perform the detailed evaluations for selecting the best prototype amongst ...
Ragaad AlTarawneh, Shah Rukh Humayoun
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The recent advances in the mobile environment, such as multi-touch gestures paradigm, introduce new challenges for the interaction designers in producing the best-suited final prototype. Moreover, the short delivery-time pressure of the current mobile market makes it harder to perform the detailed evaluations for selecting the best prototype amongst ...
Ragaad AlTarawneh, Shah Rukh Humayoun
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ON THE FITNESS OF HIGH ORDER SCHEMA OF A LINEAR-WEIGHTED CODED GENETIC ALGORITHM
Computational Intelligence in Decision and Control, 2008According to Schema Theorem, the larger the fitness value of a schema is, the higher the chance of the sub-space corresponding to the schema being chosen for searching is. Therefore, the coding of a genetic algorithm should be designed to produces short building blocks at as more fixed positions of the strings as possible.
HONGQIANG MO +4 more
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An exact schema theorem for adaptive genetic algorithm and its application to machine cell formation
Expert Systems with Applications, 2011This paper proposes an exact schema theorem that is able to predict the expected number of copies of schemas in the next GA generation. It focuses on two-point crossover, which is widely used in many GA applications. As two important GA control parameters, crossover probability (p"c) and mutation probability (p"m) affect the performance of GAs ...
Xiao Feng Yin, Li Pheng Khoo
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Proposal of an Automated Schema to Generate a Complex Password by Employing the Genetic Algorithm
Sura Jasim Mohammed, Safa Saad Al-Murieb
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A modified genetic algorithm based on the best schema and its application for function optimization
Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393), 2002The genetic algorithm (GA) is a wildly employed evolutional algorithm in the field of combinatorial optimization. Criticism of this approach includes slow speed and premature result during the convergence procedure. Through introducing new crossover and mutation operators based on the best scheme, the paper proposes a more efficient method to improve ...
null Zi Gang +2 more
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Multilevel rules mining association for processing big data using genetic algorithm
Computing and Artificial IntelligenceData mining is a machine learning method and a subset of artificial intelligence that focuses on developing algorithms to enable a computer to learn from data and past experiences within its context.
Gebeyehu Belay Gebremeskel +1 more
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