Researchers in cognitive science struggle to find a computational model that best represents cognitive phenomena for the latter are extremely complex and their mechanisms are not well understood. The biological immune system, in turn, features intrinsic cognitive characteristics. As a consequence, computational models of the immune system are capable of naturally incorporating many of these abi...

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...

Artificial immune systems represent key functions and properties of the biological immune system for solving problems in computational science. Specific approaches exist for modelling biological and artificial immune systems. This paper is focused on the usage of the OWL language in the artificial immune system modelling with the aid of the Protégé-OWL plugin.

this paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. first, the problem is formulated as a mixed integer linear programming model. then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. two experiments are carried out to evaluate th...

One of the widely used methods for classification that is a decision-making process is artificial immune systems. Artificial immune systems based on natural immunity system can be successfully applied for classification, optimization, recognition, and learning in real-world problems. In this study, a reinforcement learning based artificial immune classifier is proposed as a new approach. This a...

the artificial immune system applications vary from anomaly detection, fault tolerance, as well as data classification and data clustering. It was noticed that the applications on the design of the artificial immune memory are sparse, despite its importance in the learning process within the artificial immune networks. Most of the work presented focused only on the secondary immune response. In...

Inspired by the natural immune system, the artificial immune system has been attracting more and more attentions. In our previous works, an artificial immune network (AIN) based on the immune principles and a lateral interaction artificial immune network (LAIN) which considers the relationship between different antibodies were proposed. However, there are still some problems such as input and m...