To explain the essential features such as sufficient diversity, discrimination of self and non-self, and also long-lasting immunologic memory of adaptive immune responses, Burnet and Talmage developed the clonal selection theory. In their model, only the high affinity immune cells are selected to proliferate. Those cells with low affinity must be efficiently deleted or be set as inactive. Howev...

This paper aims at proposing a quadratic assignment-based mathematical model to deal with the stochastic dynamic facility layout problem. In this problem, product demands are assumed to be dependent normally distributed random variables with known probability density function and covariance that change from period to period at random. To solve the proposed model, a novel hybrid intelligent algo...

Strings of bits (bitstrings) are a common first-order representation in the design and preliminary investigation of computational intelligence algorithms given (1) the ease in mapping the strings to arbitrary domains (such as real numbers), and (2) in terms of mathematical analysis. This work considers the use of bitstrings in the context of the clonal expansion and antigenic selection in a gen...

In this thesis, the uses of Artificial Immune Systems (AIS) in Machine learning is studded. the thesis focus on some of immune inspired algorithms such as clonal selection algorithm and artificial immune network. The effect of changing the algorithm parameter on its performance is studded. Then a new immune inspired algorithm for unsupervised classification is proposed. The new algorithm is bas...

Clonal selection theory is one of the important theories in immunological area. Applying clonal selection to optimization problems can also be found in many papers. In this paper, the classical Clonal Selection Algorithm (CSA) is extended by introducing the receptor editing mechanism which provides a chance for autoreactive cells to survive during affinity maturation process. To demonstrate the...

In this paper, the constant modulus (CM) criterion is used to design IIR equalizer. For counterbalancing the interference of the channel, Clonal Selection Algorithm (CSA) is employed to optimize the coefficients of transfer function of the equalizer. CSA, the essence of Immune Algorithm (IA), is effective to solve complexly numerical problems. Besides, we also use the stability triangle method ...

The Clonal Selection Algorithm is the most known algorithm inspired from the Artificial Immune Systems and used effectively in optimization problems. In this paper, this nature inspired algorithm is used in a hybrid scheme with other metaheuristic algorithms for successfully solving the Vehicle Routing Problem with Stochastic Demands (VRPSD). More precisely, for the solution of this problem, th...

In the area of digital image compression, the vector quantization algorithm is a simple, effective and attractive method. After the introduction of the basic principle of the vector quantization and the classical algorithm for vector quantization codebook design, the paper, based on manifold distance, presents a clonal selection code book design method, using disintegrating method to produce in...