Introduction

The introduction chapter of this book serves as a comprehensive gateway into the realm of multiobjective optimization (MOO) as applied to data mining, machine learning, and bioinformatics. Commencing with an exploration of the foundational concepts, the chapter progressively unfolds the diverse applications of MOO in data mining tasks and machine learning processes, such as clustering, classification, feature selection, and association rule mining. Extending its reach into the domain of bioinformatics, the introduction illuminates how MOO addresses intricate challenges, including gene expression analysis, clustering, and module detection in biological networks. The chapter concludes by delving into the scope of the book, offering a concise preview of each subsequent chapter and providing readers with a glimpse into the upcoming content.