Clonal Selection

Algorithm The Clonal Selection Algorithm (or CSA) is an Artificial Intelligence algorithm that replicates the process of natural immunological systems. It is an artificial immune system that is inspired by the real immune system of living organisms. In this algorithm, each solution is represented as an antibody and is selected based on its fitness. CSA uses the mechanism of antibody production, selection and cloning of the best antibodies to come up with the solution. This algorithm has been successfully used to solve a variety of problems, such as robotics, scheduling, optimization, network security and classification. It is an efficient, robust and easy-to-implement algorithm that has the potential to achieve better results than other AI techniques.

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Related Articles

8 article(s) found

Family with Sequence Similarity 213, Member A is Associated with the Fertility Selection Index in Holsteins

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Is Natural Selection still have to be Regarded A Foundation Stone of Evolutionary Process?

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Evaluation of Some Sugar Beet Genotypes Under Drought Stress Based on Selection Indices

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Isolation of Human Monoclonal scfv Antibody Specifically Recognizing the D2-5-Ht1a Heteromer.

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Natural Selection in a Population is a Problem of Nonlinear Genetics

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Inferior Turbinate Surgery: Difficulties Between the Decision-Making and the Selection of Proper Technique

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A Patient with Monoclonal Gammopathy of Undetermined Significance and Detected Philadelphia Chromosome

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Evaluation of selection indices for heat tolerance and their correlation with yield in some chickpea (Cicer Arietinum L.) genotypes of sudan

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