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It inherits its trait from Symbiotic algorithm and Clonal algorithm.
Dealing with the above-mentioned features we have proposed a fast clonal algorithm (FCA) incorporating a parallel mutation operator comprising of Gaussian and Cauchy mutation strategy.
A product family optimum design method based on a Novel Immune Clonal Algorithm (NICA-II) is proposes in this paper to realize product family flexible design.
Under the framework, given Nmobile terminals and M access networks, we have developed a novel access network selection scheme based on a Quantum-inspired Immune Clonal Algorithm (QICA).
The aim of this paper is to design an efficient and fast clonal algorithm for solving various numerical and combinatorial real-world optimization problems effectively and speedily, irrespective of its complexity.
GA [ 41], immune clonal algorithm (ICA) [ 49], and Bayesian approach [ 50] have been recently used for simultaneously feature selection and parameters optimization for SVM on general classification problems.
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Specifically, Clonal Selection Algorithm (CSA), one of main algorithms that form AIS, is based on clonal selection process of the immune system which includes the selection, hypermutation, and receptor editing processes.
A modified immune clonal selection algorithm, called immune memory clonal selection algorithm, is employed to perform the configuration of filters design.
We hybridized the standard FPA with the Clonal Selection Algorithm (CSA) and tested the new algorithm by applying it to 23 optimization benchmark problems.
This paper presents a memetic clonal selection algorithm (MCSA) with estimation of distribution algorithm (EDA) vaccination, named MCSA-EDA, for the unconstrained binary quadratic programming problem (UBQP).
As mentioned in section "Clonal selection algorithm", CS is a population-based algorithm.
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