Artificial immune systems (AIS) are often developed directly from textual descriptions of immune properties with little attempt to understand those properties free of an engineering domain or application. Here we present an example of how an AIS can be developed based on an in-depth investigation of an immune model. This model describes how the activation thresholds of immune cells can be tuned...

In recent years, the constrained optimization problems have become a hot topic among the interest of scholars. In this paper, a new improved artificial immune algorithm is proposed and then used for solving constrained optimizations problems (COPs). This algorithm will treat these COPs as multi-objective optimization problems, and it is based on the concept of Pareto optimization to solve COPs....

In recent years, there has been a growth of investigation into the use of the mammalian immune system as a source of inspiration and metaphor for computational tasks. One avenue of this investigation has been the exploration of the learning capabilities demonstrated by these biological systems. A second appealing aspect of biological immune systems is their inherent distributedness. This paper ...

the aim of this study was to estimate suspended sediment by the ann model, dt with cart algorithm and different types of src, in ten stations from the lorestan province of iran. the results showed that the accuracy of ann with levenberg-marquardt back propagation algorithm is more than the two other models, especially in high discharges. comparison of different intervals in models showed that r...

Artificial Immune System is applied as a Heuristic Algorithm for decades. Nevertheless, many of these applications took advantage of the benefit of this algorithm but seldom proposed approaches for enhancing the efficiency. In this paper, a Self-evolving Artificial Immune System is proposed via developing the T and B cell in Immune System and built a self-evolving mechanism for the complexities...

This study presents a new artificial immune system for classification. It was named discrimination-based artificial immune system (DAIS) and was based on the principle of self and non-self discrimination by T cells in the human immune system. Ability of a natural immune system to distinguish between self and non-self molecules was applicable for classification in a way that one class was distin...

Vehicle routing problems are well-known combinational optimization problems with considerable economic significance. Considering the vehicle routing problem with limited capacity on tree is a problem that often naturally arises in railway, river, and rural road networks. In this paper, we describe an artificial immune system that is distributed, robust, dynamic, diverse and adaptive. It capture...

This paper proposes an ambitious bio-inspired algorithm for associative classification (AC) based on Quantum-Inspired Artificial Immune system (QAIS) for building an efficient classifier by searching association rules to find the best subset of rules for all possible association rules. it integrates concepts of quantum computing (QC) and artificial immune system (AIS) as a bio natural inspired ...

Artificial Immune System is applied as a Heuristic Algorithm for decades. Nevertheless, many of these applications took advantage of the benefit of this algorithm but seldom proposed approaches for enhancing the efficiency. In this paper, a Self-evolving Artificial Immune System is proposed via developing the T and B cell in Immune System and built a self-evolving mechanism for the complexities...

Scarcity of Energy resources, increasing power generation cost and ever-growing demand of electric energy necessitates optimal economic dispatch in today‘s power systems.In this paper presents a computational approach to minimize the total fuel cost in thermal power station using Artificial Immune System (AIS) algorithm. The AIS algorithm is a machine learning approach and a powerful stochastic...