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

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. Particle Swarm Optimization and Intelligence: Advances. Multiobjective Evolutionary Algorithms and Applications by. Computational Intelligence: Neural Networks Evolutionary Learning & Genetic Algorithms Granular computing & Rough sets. International Journal of Intelligent Information Technology Application (IJIITA), ISSN 1999-2459 (Print) Journal of Environmental Technology and Engineering, ISSN Vehicle manufacturing processes. Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors). 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. Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. Artificial Intelligence LISP Prolog Language: English | 137 books | PDF | 853 MB Bayesian networks : Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy Learning Ba. 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.