Robot Dynamic Identification Based on the Immune Clonal Selection Algorithm
نویسندگان
چکیده
منابع مشابه
Studies on Immune Clonal Selection Algorithm and Application of Bioinformatics
Immune algorithms (IAs) are microscopic view of evolutionary algorithms (EAs) and applied in combinatorial optimization problems. This paper addresses to a clonal selection algorithm (CSA) that is one of the most representative IA and was applied into the protein structure prediction (PSP) on AB off-lattice model, in which the memory B cells of the CSA was innovated by employing different strat...
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The dynamic clonal selection algorithm (DynamiCS) was created to tackle the difficulties of anomaly detection in continuously changing environments (Kim and Bentley, 2002). This paper describes an extension to the original algorithm, involving the deletion of memory detectors that are no longer valid. Experiments are performed on the extended system and results are analysed. The results show a ...
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In existing metaheuristics for solving the capacitated arc routing problem, traversal local search operators are often used to explore neighbors of the current solutions. This mechanism is beneficial for finding high-quality solutions; however, it entails a large number of function evaluations, causing high computational complexity. Hence, there is a need to further enhance the efficiency of su...
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Artificial immune system is a class of computational intelligence methods drawing inspiration from human immune system. As one type of popular artificial immune computing model, clonal selection algorithm (CSA) has been widely used for many optimization problems. CSA mainly generates new schemes by hyper-mutation operators which simulate the immune response process. However, these hyper-mutatio...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2013
ISSN: 1812-5654
DOI: 10.3923/jas.2013.2819.2824