Associative classification (AC) is a promising data mining approach that integrates
classification and association rule discovery to build classification models (classifiers). In the …

The blocking flowshop scheduling problem has a strong industrial background but is under-
represented in the research literature. In this study, a revised artificial immune system (RAIS) …

A new sub-pixel map** strategy inspired by the clonal selection theory in artificial immune
systems (AIS), namely, the clonal selection sub-pixel map** (CSSM) framework, is …

In this study, three new meta-heuristic algorithms artificial immune system (AIS), iterated
greedy algorithm (IG) and a hybrid approach of artificial immune system (AIS-IG) are …

This article presents a case study of using self-cognizant prognostics for the management of
three key areas in a nursing home where a substantial proportion of power consumption is …

The Natural Immune System (NIS) is a distributed, multi-layered, adaptive, dynamic, and life-
long learning system. The Artificial Immune System (AIS) is a computational system inspired …

A novel artificial immune system algorithm with social learning mechanisms (AIS‐SL) is
proposed in this paper. In AIS‐SL, candidate antibodies are marked with an elitist swarm …

Data mining is the knowledge discovery process which helps in extracting interesting
patterns from large amount of data. With the amount of data doubling every three years, data …

The exponential rise in the amount of data has fueled various facets in data science and
data engineering. Classification is a supervised machine learning task that underlies several …

In this paper, a innovative methodology for Switched Reluctance Motor (SRM) drive control
using Smart Bacterial Foraging Algorithm (SBFA) is presented. This method mimics the …