Soft Computing for Problem Solving 2019

Beschreibung

This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. 
Provides valuable insights in the area of computational intelligence to help new researchers Discusses the latest findings relating to a wide variety of industrial, engineering and scientific applications of soft computing Features invited papers from the inventors/originators of computational techniques

Autor*in

Atulya K. Nagar

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SocPros 2019 Soft Computing Swarm Intelligence Evolutionary Computation Artificial Neural Network Fuzzy Logic

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