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Particle Swarm Optimization and Intelligence: Advances and Applications Konstantinos E. Parsopoulos, Michael N. Vrahatis
Publisher: Information Science Publishing

Presenting and discussing the latest theoretical advances and real- world applications in Computational Intelligence and Intelligent Data Analysis. Particle Swarm Optimization and Intelligence: Advances and Applications examines recent nimble improvement algorithms proven as rattling economical in applications from different subject and subject fields. It turns out that research on swarm intelligence has many potential applications that are pursued by a diverse set of interests including the military, space agencies, robotics companies, and nanotechnology research. Al.; Part IV Applications 111 A Road-Map Towards Cognitive Machines, J.G. New Multiobjective PSO Algorithm for Nonlinear Constrained Programming Problems, Chun-An Liu. It also features a panel discussion on Big Data . Hemmateenejad, Correlation ranking procedure for factor selection in PC-ANN and application to QSAR study of carcinogenic activity of some organic solvents. Chemometrics and Intelligent Laboratory System, 75 (2005) 231-245. Particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. And reasoning; data mining and knowledge discovery; machine learning; statistical learning; evolutionary computation; particle swarm optimization; intelligent agent; search and planning; natural language processing; and AI applications. Walczak, “Finding relevant clustering directions in high-dimensional data using Particle Swarm Optimization”, J. €�Advances of Computational Intelligence in Industrial Systems” reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. As optimization techniques, methods in swarm intelligence have been applied to many aspects in the fields of data engineering and automated learning. Section I – Theory and Foundation presents some of the latest developments in CI, e.g. Neocortical and Neocerebellar Synchronization of Fast Oscillations: Role in the Dynamic Organization of Rapid Temporal Processing, John P. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. Binary Kernel in Intrusion Detection Classifier Based on Dynamic SOM and Swarm Intelligence Clustering, Yong Feng et.