Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering

The 13 chapters in the collection describe computational techniques inspired in part by nature and natural systems to represent and organize information from business, science, computing, and engineering. The contributors propose a genetic program to predict future foreign exchange rates, an artificial life-based vegetation modeling approach for biodiversity research, an evolutionary framework for self-organization of smart appliance ensembles, and combinational circuit design with estimation of distribution algorithms. The last two chapters review ant-based algorithms and their applications to various areas, and the use of nature-inspired techniques in solving optimization problems related to telecommunications network design. Annotation c2009 Book News, Inc., Portland, OR (booknews.com)