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Particle Swarm Optimization and Intelligence:

Particle Swarm Optimization and Intelligence:

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

Particle Swarm Optimization and Intelligence: Advances and Applications


Particle.Swarm.Optimization.and.Intelligence.Advances.and.Applications.pdf
ISBN: 1615206663,9781615206667 | 329 pages | 9 Mb


Download Particle Swarm Optimization and Intelligence: Advances and Applications



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




Particle Swarm Optimization and Intelligence: Advances and Applications examines modern intelligent optimization algorithms proven as very efficient in applications from various scientific and technological fields. In his judgment, swarm intelligence is an evocative modeling tool that could help human beings better organize themselves and society—which could help in developing optimization algorithms and problem–solving methods. International Journal of Intelligent Information Technology Application (IJIITA), ISSN 1999-2459 (Print) Journal of Environmental Technology and Engineering, ISSN Vehicle manufacturing processes. Full of worked Evolutionary Algorithms in Engineering and Computer Science: Recent Advance . Comments Off However, in most cases, the number of clusters k can not be determined in advance, so the best number of clusters k needs to be optimized. Richard Chbeir, Ajith Volume 7, Issue 3, pp. The final chapter introduces swarm intelligence and its applications, particle swarm optimization, and ant colony optimization. Ajith Abraham, Dennis Jarvis, Jacquie Jarvis and Lakhmi Jain, Innovations in Intelligent Agent Technology, Multiagent and Grid Systems – An International Journal, IOS Press, The Netherlands, Volume 4, No. Hongbo Liu, Ajith Abraham and Weishi Zhang, A Fuzzy Adaptive Turbulent Particle Swarm Optimization, International Journal of Innovative Computing and Applications, Volume 1, Issue 1, pp. Computational Intelligence: Neural Networks Evolutionary Learning & Genetic Algorithms Granular computing & Rough sets. In order to solve that the clustering algorithm based on PSO can not determine the number of clusters k, by the k-means algorithm, achieve the best number of cluster k and the structuring of the cluster validity function. Research and Application of DNA Clustering Algorithm Based on Intelligent Algorithm.

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