Artificial Immune Systems (AIS) are computational paradigms that belong to the
computational intelligence family and are inspired by the biological immune system. During …

The aim of this paper is to design an efficient and fast clonal algorithm for solving various
numerical and combinatorial real-world optimization problems effectively and speedily …

In this research paper we present an immunological algorithm (IA) to solve global numerical
optimization problems for high-dimensional instances. Such optimization problems are a …

Artificial immune system is a class of computational intelligence methods drawing inspiration
from biological immune system. As one type of popular artificial immune computing model …

Dynamic multimodal optimization problems (DMMOPs) are a class of problems consisting of
two characteristics, ie, dynamic and multimodal natures. The former characteristic reveals …

Abstract Artificial Immune Systems (AISs) are computational methods inspired by the
biological immune system and thus classified as a nature-inspired meta-heuristic along with …

The inspiration of framing the artificially developed immune system (AIS) is done through the
biological immune system which compromise of signified information processing and self …

This article presents an immune inspired algorithm to tackle the Multiple Sequence
Alignment (MSA) problem. MSA is one of the most important tasks in biological sequence …

Artificial neural networks are widely used in data analysis and to control dynamic processes.
These tools are powerful and versatile, but the way in which they are constructed, in …

Abstract Artificial Immune System (AIS) is taken into account from evolutionary algorithms
that have been inspired from defensive mechanism of complex natural immune system. For …