Artificial intelligence (AI) provides many opportunities to improve private and public life.
Discovering patterns and structures in large troves of data in an automated manner is a core …

With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Abstract Internet-of-Things (IoT) has gained quick popularity with the evolution of
technologies such as big data analytics, block-chain, artificial intelligence, machine learning …

Nature‐inspired algorithms are becoming popular among researchers due to their simplicity
and flexibility. The nature‐inspired metaheuristic algorithms are analysed in terms of their …

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 …

The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …

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 …

Nature is of course a great and immense source of inspiration for solving hard and complex
problems in computer science since it exhibits extremely diverse, dynamic, robust, complex …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …