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

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

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. Presenting and discussing the latest theoretical advances and real- world applications in Computational Intelligence and Intelligent Data Analysis. 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. Richard Chbeir, Ajith Volume 7, Issue 3, pp. Particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. It also features a panel discussion on Big Data . 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. A simpler variant is the accelerated particle swarm optimization. These applications result from the interaction between fundamental Metaheuristics (evolutionary algorithms, simulated annealing, tabu search, ant colony optimization, particle swarm optimization, harmony search, bee colony optimization, etc.) Expert systems in/for. This special issue will therefore focus on recent advances in swarm intelligence applications in power engineering. ICCSA 2013 is the next event in the series of highly successful International Conferences on Computational Science and Its Applications, previously held in Salvador de Bahia, Brazil (2012), Santander, Spain (2011), Fukuoka, .. Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008, Proceedings (Lecture . Advances of Computational Intelligence in Industrial Systems reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. The SI-based methods are population-based stochastic searching methods mainly developed for system optimization, such as Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). Section I – Theory and Foundation presents some of the latest developments in CI, e.g. Recent advances in digital imaging and computer hardware technology have led to an explosion in the use of digital images in a variety of scientific and engineering applications. Section II – Industrial Application covers the CI applications in a wide variety of domains, e.g. As optimization techniques, methods in swarm intelligence have been applied to many aspects in the fields of data engineering and automated learning. Intelligence and are devoted to behavioral models of social insects and new algorithmic approaches, empirical and theoretical research in swarm intelligence, applications such as ant colony optimization or particle swarm optimization, and theoretical and experimental research in swarm robotics systems. Particle Swarm Optimization and Intelligence: Advances and Applications (9781615206667): Konstantinos E. 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.