Theory and Practice of Natural Computing 5th International Conference TPNC 2016 Sendai Japan December 12 13 2016 Proceedings 1st Edition by Carlos Martín-Vide, Takaaki Mizuki, Miguel A. Vega-Rodríguez – Ebook PDF Instant Download/Delivery: 3319490001, 978-3319490007
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Product details:
ISBN 10: 3319490001
ISBN 13: 978-3319490007
Author: Carlos Martín-Vide, Takaaki Mizuki, Miguel A. Vega-Rodríguez
This book constitutes the refereed proceedings of the 5th International Conference on Theory and Practice of Natural Computing, TPNC 2016, held in Sendai, Japan, in December 2016.
The 16 revised full papers presented together with one invited talk in this book were carefully reviewed and selected from 33 submissions. The papers are grouped in topical sections on applications of natural computing, evolutionary computation, formal models, and machine learning.
Theory and Practice of Natural Computing 5th International Conference TPNC 2016 Sendai Japan December 12 13 2016 Proceedings 1st Table of contents:
1. Invited Talk
Managing Natural Noise in Recommender Systems
2. Applications of Natural Computing
Realization of Periodic Functions by Self-stabilizing Population Protocols with Synchronous Handshakes
Localized Load Balancing in RFID Systems
The Fuel-Efficient Platooning of Heavy Duty Vehicles by Mathematical Programming and Genetic Algorithm
How to Implement a Random Bisection Cut
3. Evolutionary Computation
A Discrete Artificial Bee Colony Algorithm Based on Similarity for Graph Coloring Problems
A Multi-objective Evolutionary Approach to Pareto Optimal Model Trees. A Preliminary Study
A Sampling-Based Metaheuristic for the Orienteering Problem with Stochastic Travel Times
Real Time Traffic Intersection Management Using Multi-objective Evolutionary Algorithm
4. Formal Models
Natural and Efficient Subtraction Operation in Carry Value Transformation (CVT)-Exclusive OR (XOR) Paradigm
Decreasing Entropy: How Wide to Open the Window?
Simulating Stochastic Dynamic Interactions with Spatial Information and Flux
Implementation of Turing Machine Using DNA Strand Displacement
5. Machine Learning
A Quantum Annealing Approach to Biclustering
Determining Player Skill in the Game of Go with Deep Neural Networks
Flexible Generalized Fuzzy Petri Nets for Rule-Based Systems
Learning Grammar Rules in Probabilistic Grammar-Based Genetic Programming
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