This work proposes a framework to determine the optimalWiener equalizer by using an artificial immune networkmodel together with the constant modulus (CM) cost function. This study was primarily motivated by recent theoretical results concerning the CM criterion and its relation to the Wiener approach. The proposed immune-based technique was tested under different channel models and filter orde...

A resource limited immune approach (RLIA) was developed to evolve architecture and initial connection weights of multilayer neural networks. Then, with Back-Propagation (BP) algorithm, the appropriate connection weights can be found. The RLIA-BP classifier, which is derived from hybrid algorithm mentioned above, is demonstrated on SPOT multi-spectral image data, vowel data and Iris data effecti...

The lymphatic system provides the context for the immune system cells and setting for their interactions as described by immunological theory. A previously defined and elaborated lymphoid tissue model is proposed as a general lymphoid-tissue inspired information processing architecture, with specific information processing and information transmission constraints imposed on different tissue typ...

The present paper deals with a variant of hub location problems (HLP): the uncapacitated single allocation p-Hub median problem (USApHMP). This consists to jointly locate facilities and allocate demand nodes these selected facilities. objective function is minimize routing demands between any origin destination pair nodes. known be NP-hard. Based on artificial immune systems (AIS) framework, th...

This paper develops a new algorithm by applying the Bayesian method to software using artificial immune systems. An system is an adaptive computing that uses models, principles, mechanisms, and functions used solve problems in theoretical immunology. Its application various fields of science studied. The role systems play invaluable. Methods for detecting malware are explored. Some works field ...

In the multiple-reader environment (MRE) of radio frequency identification (RFID) system, multiple readers are often scheduled to interrogate the randomized tags via operating at different time slots or frequency channels to decrease the signal interferences. Based on this, a Geometric Distribution-based Multiple-reader Scheduling Optimization Algorithm using Artificial Immune System (GD-MRSOA-...

This paper proposes a new complex artificial immune system based on biological immune system. The complex data representation and complex expressions of weights are introduced into the traditional artificial immune system, in which binary or real value data representation was used. The proposed complex artificial immune system imitates the immune response mechanism closely and incorporates the ...

In the research of multi-objective optimization algorithm, evolutionary algorithms have considered to be very successful tools. Artificial Immune System (AIS)-based algorithms as one of the viable alternative have also be widely developed in this domain. Over the years, researchers of evolutionary algorithms have extended their interest to many-objective situations; however works in AIS-based a...

In this study, a hybrid of Quantum Evolutionary and Artificial Immune Algorithms (QIA) is proposed for solving Multiobjective Flexible Job Shop Scheduling Problem (MFJSSP). This problem is formulated as a three-objective problem which minimizes completion time (makespan), critical machine workload and total work load of all machines. The quantum coding is shown to improve the immune strategy. T...