Soft Computing Techniques and Mathematical Modelling for Complex Dynamic Systems

Dear Colleagues,

Many real-world observations are outputs of complex dynamic systems. The prediction and/or control of the future state of these systems are needed for various reasons. It is difficult to carry out comprehensive studies of such systems. Quite often, solutions to these problems are impossible to achieve without the use of soft computing and mathematical modelling techniques. Soft computing techniques that involve neural networks, evolutionary algorithms, fuzzy logic, and other natural computing algorithms are state-of-the-art methods used to solve complex problems such as recognition, classification, optimization, identification, and simulation. This Special Issue welcomes original research papers that focus on such methods and expand ground-breaking aspects of soft computing and mathematical modeling with novel methods and theories, as well as those that cover innovative and successful applications of dynamic systems for fronting real-world problems. Physics-inspired soft computing approaches and applications in biology and medicine are especially welcome. 

Dr. Narsis Aftab Kiani
Prof. Dr. Tofigh Allahviranloo
Guest Editors

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