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Theory and Practice of Natural Computing: 9th International Conference, TPNC 2020, Taoyuan, Taiwan, December 7–9, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12494

Editat de Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Miin-Shen Yang
en Limba Engleză Paperback – 4 noi 2020
This book constitutes the refereed proceedings of the 9th International Conference on Theory and Practice of Natural Computing, TPNC 2020, held in Taoyuan, Taiwan, in December 2020.
The 12 full papers presented in this book, together with one invited talk, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections named: applications of natural computing; quantum computing and unconventional computing; and swarm intelligence, evolutionary algorithms, and DNA computing.
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Specificații

ISBN-13: 9783030629991
ISBN-10: 3030629996
Pagini: 171
Ilustrații: X, 171 p. 84 illus., 28 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

Invited Talk.- Adaptive Coordination of Multiple Learning Strategies in Brains and Robots.- Applications of Natural Computing.- Interactive Sensor-based Virtual Experiment Digital Textbook System on Smart Phone and Learning Cloud.- Solving Hard Problems by Protein Folding?.- A Three-Player Envy-Free Discrete Division Protocol for Mixed Manna.- Convolutional Variational Autoencoders for Audio Feature Representation in Speech Recognition Systems.- Quantum Computing and Unconventional Computing.- Quantum Candies and Quantum Cryptography.- From Practice to Theory: the "Bright Illumination" Attack on Quantum Key Distribution Systems.- Quantum-Inspired Algorithm with Evolution Strategy.- How to Implement a Non-Uniform or Non-Closed Shuffle.- Swarm Intelligence, Evolutionary Algorithms, and DNA Computing.- A Study on Efficient Asynchronous Parallel Multi-Objective Evolutionary Algorithm with Waiting Time Limitation.- Nonlinear Regression in Dynamic Environments Using Particle Swarm Optimization.- Theta Palindromes in Theta Conjugates.- Line Reconfiguration by Programmable Particles Maintaining Connectivity.