Abstract: In order to solve the cooperation of autonomous agent systems,an artificial immune network cooperation algorithm is proposed,which is based on Jerne’s idiotypic immune network hypothesis. A sheepdog herding problem is taken as an example. The relative position information of dogs with the sheep and sheep pen is taken as an antigen. Dogs’ action is taken as an antibody. We calculate an...

Flexible Job shop scheduling is very important in production management and combinatorial optimization. It is NP-hard problem and consists of two sub-problems: sequencing and assignment. Multiobjective Flexible Job-Shop Scheduling Problems (MFJSSP) is formulated as three-objective problem which minimizes completion time (makespan), critical machine workload and total work load of all machines. ...

This paper investigates the use of clonal selection principles based on our immune system for optimization applications in electromagnetics. This concept is based on our immune system’s ability to respond to an antigen and produce a pool of anti-body secreting cells. In addition to the common implementations of this algorithm where the affinity maturation and cloning principles of clonal select...

Artificial Immune Systems (AIS) have recently been proposed as an additional soft computing paradigm. This paper proposes a new multi-layered unsupervised machine learning algorithm inspired by the vertebrate immune system. The algorithm has been tested on benchmark data and has shown a great deal of potential for data reduction and clustering tasks. This paper presents an overview of the algor...

Hardware/software codesign is the main approach to designing the embedded systems. One of the primary steps of the hardware/software codesign is the hardware/software partitioning. A good partitioning scheme is a tradeoff of some constraints, such as power, size, performance, and so on. Inspired by both negative selection model and evolutionary mechanism of the biological immune system, an evol...

This paper presents a mathematical proof of convergence of a multiobjective artificial immune system algorithm (based on clonal selection theory). An specific algorithm (previously reported in the specialized literature) is adopted as a basis for the mathematical model presented herein. The proof is based on the use of Markov chains.

Peptide based vaccines play an important role in activating the immune response. The small peptides derived from target proteins (epitopes) of an invading pathogen, bacteria, or virus bind with the MHC molecules are recognized by CD4+ T cells or CD8+ T cells. MHC class I molecules are recognized by CD4+ T cells and MHC class – II molecules are recognized by CD8+ T cells. It is very time consumi...

Genetic algorithm is a global probability search algorithm developed by simulating the biological natural selection and genetic evolution mechanism and it has excellent global search ability, however, in practical applications, premature convergence occurs easily in the genetic algorithm. This paper proposes an self-adaptive multi-peak immune genetic algorithm (SMIGA) and this algorithm integra...

This paper concentrates on the forecasting time series with multiple seasonal periods using new immune inspired method. Proposed model includes two populations of immune memory cells – antibodies, which recognize patterns of the time series sequences represented by antigens. The empirical probabilities, that the pattern of forecasted sequence is detected by the jth antibody from the first popul...