Handbook of Research on Soft Computing and Nature-inspired Algorithms

Computer and information scientists and electrical engineers review recent developments in soft computing, a collection of imprecision-tolerant techniques that can deal with uncertainty, partial truth, and approximation. Their topics include parameter settings in particle swarm optimization, speaker recognition with normal and telephonic Assamese speech using i-vector and a learning-based classifier, the automatic generation control of multi-area interconnected power systems using a hybrid evolutionary algorithm, an intelligent expert system to optimize the quartz crystal microbalance characterization test, and a survey of the cuckoo search and its applications in real-world optimization problems. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)