15th International Conference on Hybrid Intelligent Systems (HIS 2015) Seoul, Korea November 16-18, 2015
HIS’15 is the 15th International conference that brings together researchers, developers, practitioners, and users of soft computing, computational intelligence, agents, logic programming, and several other intelligent computing techniques. Paper submission due (extended): September 20, 2015 Notification of paper acceptance (extended): September 30, 2015 Final manuscript and registration due: October 10, 2015 Conference: November 16-18, 2015 “Hybrid Intelligent Computing Towards a Greener Future” About the Conference Hybridisation of intelligent systems is a promising research field of modern artificial/computational intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined approaches will be necessary if the remaining tough problems in artificial/computational intelligence are to be solved. Hybrid Intelligent Systems are getting popular due to their capabilities in handling several real world complexities involving imprecision, uncertainty and vagueness. HIS’15 is the 15th International conference that brings together researchers, developers, practitioners, and users of soft computing, computational intelligence, agents, logic programming, and several other intelligent computing techniques. HIS’15 invites authors to submit their original and unpublished work that demonstrate current research using soft computing, com! Computational intelligence and other intelligent computing techniques and their applications in science, technology, business and commerce: [Hybrid Intelligent Systems: Architecture] * Interactions between neural networks and fuzzy inference systems * Artificial neural network optimization using global optimization techniques * Fuzzy clustering algorithms and optimization techniques * Fuzzy inference system optimization using global optimization algorithms * Hybrid computing using neural networks – fuzzy systems – evolutionary algorithms * Hybrid optimization techniques (evolutionary algorithms, simulated annealing, tabu search, grasp, etc.) * Hybrid of soft computing and statistical learning techniques * Models using inductive logic programming, logic synthesis, grammatical inference, case based reasoning, etc. * Autonomic computing * Hybridisation with novel […]