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

Particle Swarm Optimization and Intelligence: Advances and Applications

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

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). Ant Colony Optimization and Swarm Intelligence: 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008, Proceedings (Lecture . As a test case, a square site subdivided into 100 square cells as Chunqiu Wan, Jun Wang, Geng Yang, Xing Zhang (2010) Optimal Micro-siting of Wind Farms by Particle Swarm Optimization, Advances in Swarm Intelligence 6145, Ying Tan, Yuhui Shi, Kay Chen Tan (ed.), p. International Journal of Intelligent Information Technology Application (IJIITA), ISSN 1999-2459 (Print) Journal of Environmental Technology and Engineering, ISSN Vehicle manufacturing processes. As optimization techniques, methods in swarm intelligence have been applied to many aspects in the fields of data engineering and automated learning. Presenting and discussing the latest theoretical advances and real- world applications in Computational Intelligence and Intelligent Data Analysis. New Multiobjective PSO Algorithm for Nonlinear Constrained Programming Problems, Chun-An Liu. Computational Intelligence: Neural Networks Evolutionary Learning & Genetic Algorithms Granular computing & Rough sets. It also features a panel discussion on Big Data . Section I – Theory and Foundation presents some of the latest developments in CI, e.g. 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. Particle swarm optimization, Web services, data mining with privacy protection, kernel methods for text analysis, etc. Neocortical and Neocerebellar Synchronization of Fast Oscillations: Role in the Dynamic Organization of Rapid Temporal Processing, John P. Al.; Part IV Applications 111 A Road-Map Towards Cognitive Machines, J.G. 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. €�Advances of Computational Intelligence in Industrial Systems” reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Description 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. The purpose of the paper is to prove the feasibility of the method by analyzing the results obtained in some simple applications.

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