Immune secondary response and clonal selection inspired optimizers
نویسندگان
چکیده
منابع مشابه
A Look Inside The Artificial Immune Algorithm Inspired by Clonal Selection Principle
Artificial Immune Systems inspired by clonal selection principle (called clonal selection algorithms) have already been successfully applied to pattern recognition tasks. In this paper we present our implementation of one of them, called CLONCLAS, and discuss its behavior in application to recognition of a set of binary patterns. The algorithm performs process of learning based on a set of trai...
متن کاملStudies 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...
متن کاملImmune clonal selection algorithm for capacitated arc routing problem
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...
متن کاملClonal vs. Negative Selection in Artificial Immune Systems (AIS)
In this paper, we review the bio-inspired Artificial Immune System (AIS) using two detection and selection mechanism known as negative selection and clonal selections. AIS mimic the behavior of natural immune system to find the unknown pattern that have not been seen by the system similar to what bodies would do in facing the microbial entities. We simulate the behavior of negative selection an...
متن کاملImmune Memory in the Dynamic Clonal Selection Algor ithm
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 This paper describes an extension to the original algorithm, involving the deletion of memory detectors that are no longer valid.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 ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Progress in Natural Science
سال: 2009
ISSN: 1002-0071
DOI: 10.1016/j.pnsc.2008.05.026