Recently, clonal selection theory in the immune system has received the attention of
researchers and given them inspiration to create algorithms that evolve candidate solutions …

In this research, we propose an intelligent decision support system for skin cancer detection.
Since generating an effective lesion representation is a vital step to ensure the success of …

Abstract Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective
optimization by using a novel nondominated neighbor-based selection technique, an …

Credit card plays a very important rule in today's economy. It becomes an unavoidable part
of household, business and global activities. Although using credit cards provides enormous …

Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and
have proven useful and reliable in a wide range of classification and regression problems …

We present an immune algorithm (IA) inspired by the clonal selection principle, which has
been designed for the protein structure prediction problem (PSP). The proposed IA employs …

Research on multiobjective optimization (MO) becomes one of the hot points of intelligent
computation. Compared with evolutionary algorithm, the artificial immune system used for …

This paper aims to automatically design optimal LSTM topologies using the clonal selection
algorithm (CSA) to solve text classification tasks such as sentiment analysis and SMS spam …

For the last two decades, artificial immune systems have been studied in various fields of
knowledge. They were shown to be particularly effective tools at detecting anomalous …

A geotechnical parameter identification method based on multi-output support vector
machines (M-SVMs) and the clonal selection algorithm (CSA) is proposed. Using this …