Bio-inspired Computing for Information Retrieval Applications

Computer scientists, electrical engineers, and other researchers from India and Iran present 12 essays on the use of bio-inspired computing for information retrieval applications. They discuss the use of evolutionary computation in information retrieval, including a melody search algorithm, feature selection in machine learning, algorithms for text summarization, and web crawling for information extraction; bio and nature-inspired computing and information retrieval, including swarm-based clustering for gene expression data, biologically inspired optimization techniques in real-time applications, fault classification in power transmission systems, and techniques for information extraction and processing using cellular automata; and human-centric and behavior-based computing, such as a genetic algorithm for function optimization, gene expression programming, bio-inspired techniques in rehabilitation engineering for the control of assistive devices, and bio-inspired algorithms in solving three-dimensional protein structure prediction problems. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)