This is the first book primarily dedicated to clustering using
multiobjective genetic algorithms with extensive real-life
applications in data mining and bioinformatics. The authors first
offer detailed introductions to the relevant techniques – genetic
algorithms, multiobjective optimization, soft computing, data
mining and bioinformatics. They then demonstrate systematic
applications of these techniques to real-world problems in the
areas of data mining, bioinformatics and geoscience. The authors
offer detailed theoretical and statistical notes, guides to
future research, and chapter summaries.
The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience.