The field of parallel metaheuristics is continuously evolving as a result of new technologies
and needs that researchers have been encountering. In the last decade, new models of …

This book is the result of several years of research trying to better characterize parallel
genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers …

Abstract Machine learning (ML) deals with the automated learning of machines without
being programmed explicitly. It focuses on performing data-based predictions and has …

Many of the optimization problems from the real world are multiobjective in nature, and the
reference algorithm for multiobjective optimization is NSGA-II. Frequently, these problems …

The sequencing of DNA goes through a step of fragment assembly, this step is known as
DNA fragment assembly problem (FAP). Fragment assembly is considered as an NP-hard …

The world is currently undergoing water scarcity problems, even if it seems to be the most
abundant resource on earth. However, the freshwater account is really in small amounts …

The study of deoxyribonucleic acid (DNA) is crucial in many fields, including medicine,
biology, zoology, agriculture, and forensics. Since reading a DNA sequence is onerous …

Nucleotide sequencing finds the exact order of nucleotides present in a DNA molecule. The
correct DNA sequence is required to obtain the desired information about the complete …

Determining the sequence of a long DNA chain first requires dividing it into subset
fragments. The DNA fragment assembly (DFA) approach is then used for reassembling the …

This paper focuses on Particle Swarm Optimization (PSO) applied to the DNA fragment
assembly problem. Existing PSO algorithms for this permutation-based combinatorial …