CLONALG greatly increases the size of its population. We propose a version with reduced population. Our hypothesis is that reducing the number of individuals in a population will decrease the number of evaluations of the objective function, increasing the speed of convergence and reducing the use of data memory. Our proposal uses a population of 5 individuals (antibodies), from which only 15 cl...

Genetic algorithms and cellular automata are two computational approaches to model complex adaptive systems. Here is described an immune system simulator that uses a cellular automaton to model the physical environment along with a genetic algorithm to attain adaptation and selection. Agent genetic coding comprised within the genotype is a set of rules which expresses behavior. Moreover, an age...

Creating visual art using biologically inspired techniques is a new and exciting field. We describe an interactive image generation system based on an Artificial Immune System (AIS). In our system the user guides image evolution by cueing the system about the aesthetic content of selected areas of images in the current population.

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 ...

The hybridization of artificial immune system with cellular automata (CA-AIS) is a novel method. In this hybrid model, the cellular automaton within each cell deploys the artificial immune system algorithm under optimization context in order to increase its fitness by using its neighbor’s efforts. The hybrid model CA-AIS is introduced to fix the standard artificial immune system’s weaknesses. T...