Particle Swarm Optimization and Intelligence: Advances and Applications by Konstantinos E. Parsopoulos, Michael N. Vrahatis

Particle Swarm Optimization and Intelligence: Advances and Applications



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Particle Swarm Optimization and Intelligence: Advances and Applications Konstantinos E. Parsopoulos, Michael N. Vrahatis ebook
Format: pdf
Publisher: Information Science Publishing
ISBN: 1615206663, 9781615206667
Page: 329


Particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. The application of evolutionary. Chemometrics and Intelligent Laboratory System, 75 (2005) 231-245. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. Http://www.hindawi.com/archive/2008/685175/ Journal of Artificial Evolution and Applications Volume 2008 (2008), Article ID 685175, 10 pages doi:10.1155/2008/685175 .. Walczak, “Finding relevant clustering directions in high-dimensional data using Particle Swarm Optimization”, J. Its name is… Swarm Intelligence. Advances of Computational Intelligence in Industrial Systems reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Section I – Theory and Foundation presents some of the latest developments in CI, e.g. IGI Global: Particle Swarm Optimization and Intelligence: Advances. Hemmateenejad, Correlation ranking procedure for factor selection in PC-ANN and application to QSAR study of carcinogenic activity of some organic solvents. The first online articles begin to be available. 201203042011PSO 的 Applications 分析 ?Swarm Intelligence 好文轉寄. The first scientific journal dedicated to the new research field of swarm intelligence is born. Rahmat-Samii, “Advances in particle swarm optimization for antenna designs: real-number, binary, single-objective and multiobjective implementations,” IEEE Transactions on Antennas and Propagation, vol. Amazon.com: Multi-Objective Optimization Using Evolutionary. 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.

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