The area of metaheuristics has grown immensely in the past two decades as a solution to
real-world optimisation problems. They are able to perform well in situations where exact …

The immune system is a remarkable information processing and self learning system that
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …

A unified view of metaheuristics This book provides a complete background on
metaheuristics and shows readers how to design and implement efficient algorithms to solve …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …

In this paper, we propose an algorithm based on the clonal selection principle to solve
multiobjective optimization problems (either constrained or unconstrained). The proposed …

This paper presents the adaptation of an immune network model, originally proposed to
perform information compression and data clustering, to solve multimodal function …

Artificial immune systems (AIS) can be defined as computational systems inspired by
theoretical immunology, observed immune functions, principles and mechanisms in order to …

During the last decade, the field of artificial immune system (A1S) is progressing slowly and
steadily as a branch of computational intelligence (CI). There has been increasing interest in …

Natural computing brings together nature and computing to develop new computational
tools for problem solving; to synthesize natural patterns and behaviors in computers; and to …