Theory and Practice of Natural Computing Third International Conference TPNC 2014 Granada Spain December 9 11 2014 Proceedings 1st Edition Adrian-Horia Dediu – Ebook Instant Download/Delivery ISBN(s): 3642338607, 9783642338601
Product details:
- ISBN 10: 3642338607
- ISBN 13: 9783642338601
- Author: Adrian
This book constitutes the refereed proceedings of the First International Conference, TPNC 2012, held in Tarragona, Spain, in October 2012. The 12 revised full papers presented together with 6 invited talks were carefully reviewed and selected from 34 submissions. The papers are organized in topical sections on nature-inspired models of computation; synthesizing nature by means of computation; nature-inspired materials; and information processing in nature.
Table of contents:
Hybrid Metaheuristics in Combinatorial Optimization: A Tutorial
Introduction
Population-Based Iterated Local Search
Combining Ant Colony Optimization with Constraint Programming
Variable Neighborhood Search Hybridized with Large Neighborhood Search
Combining Tabu Search with Problem Relaxation
Utilizing Dynamic Programming within Metaheuristics
Conclusions
References
Theory and Applications of DNA Codeword Design
DNA CodeWord Design: Origins and State-of-the-Art
Gibbs Energies, DNA Spaces and Optimal DNA Codes
Gibbs Energies
A Combinatorial Approximation to the Gibbs Energy
Optimal Codes and Geometric Packings
Some Applications of DNA Codeword Designs
Conclusions and Future Work
References
Scalable Neuroevolution for Reinforcement Learning
References
Differential Evolution Algorithm: Recent Advances
Introduction
The Standard DE Algorithm
Initialization of the Population
Mutation with Difference Vectors
Crossover
Selection
DE Variants for Bound Constrained Single Objectives
jDE: Self-adaptive DE
SaDE: Self-adaptive DE
DEGL: DE with Global and Local Neighborhoods
JADE: DE with pbest Mutation
MDE_pBX: Modified DE with p-best Crossover
EPSDE: Ensemble of Parameters and Strategies DE
S-EXP: Linearly Scalable EXP Crossover
DE for Multiobjective Optimization
DE for Multimodal Optimization
Niching Methods
Neighborhood Mutation Based DE for Niching
Conclusions and Further Work
References
The Fragility of Quantum Information?
Classical Information
Quantum Information, Anyone?
References
Computational Intelligence in Astronomy – A Win-Win Situation
Introduction
Automated Calibration of Galaxy Disruption Simulations Wang09
Time Delay Estimation in Gravitationally Lensed Signals Cuevas-Tello10,Cuevas:2006:HAT
Clustering and Topographic Mapping of Light Curves from Eclipsing Binary Stars ijcnn-bin09
Conclusions
References
Regular Papers
A Multi-objective Approach to Solve the Location Areas Problem
Introduction
Location Areas Scheme
Non-dominated Sorting Genetic Algorithm – II
Individual Representation and Initialization
Crossover Operation
Mutation Operation
NSGA-II Pseudo-code
Numerical Results
NSGA-II Parametric Study
Problem Instances
Results
Conclusion and Future Work
References
Nature-Inspired Algorithms Applied to an Efficient and Self-adaptive Resources Selection Model for G
Introduction
The Self-adaptive and Efficient Resources Selection Model
Grid Infrastructure Concepts
Background and Assumptions
Applying a Cellular Automata Technique on the ERS Model
The ERS Model Using the Preferential Attachment Algorithm
Experiments and Results
Scenario 1: Model Iterations Effect
Scenario 2: Effect of Task Space Size
Conclusions
References
Attacks on Fixed Apparatus Quantum Key Distribution Schemes
Introduction: A Fixed-Apparatus Attack
Applications: QKD Implementations with Fixed Apparatus
Polarization-Based BB84
Interferometric BB84
References
Cellular Automaton Based Motion Planning Algorithms for Mobile Sensor Networks
Introduction
CA Algorithms for the Mobile Dispersion Problem
Local Rules Defining the Movement of Sensors
Rules for Blocking Movement
Move-Back Rules
Experimental Results of Mobile Dispersion Algorithms
Conclusion
References
An Easy Automata Based Algorithm for Testing Coding Properties of Infinite Sets of (DNA) Words
Introduction
Basics on Languages, Codes and Automata
The Problem
UD and Restricted Automata
DNA Code Words
Testing Properties of an Infinite Set of (DNA) Words
Conclusion
References
On the Security of Interferometric Quantum Key Distribution
Introduction
Preliminaries and Model
Attacks in an Enlarged Space
Formulating Eve’s Attack
Formulating Bob’s Measurement
Attacks that Cause No Error
The Power of Reversed-Space Attacks
Analysis of Phase-Encoded Interferometric BB84
Interferometric Implementation of the xy-BB84 Scheme
“Native” Implementation for x and z Bases
“Unified” Implementation for the xz-Bases
(Non-)Robustness of xz-BB84-Unified Scheme for a Single-Photon-Limited Eve
References
Generating DNA Code Words Using Forbidding and Enforcing Systems
Introduction
Basic Concepts and Definitions
DNA Involution Codes
Forbidding-Enforcing Systems
Characterizing Involution Codes with fe-Systems
Characterizations by f-Families
Characterizations by e-Families
Generating Good Codes by fe-Systems
Concluding Remarks
References
Wolbachia Infection Improves Genetic Algorithms as Optimization Procedure
Introduction
Related Work
Wolbachia
Mating Restrictions in Genetic Algorithms
Methods
Representation of Individuals
Population Structure
Wolbachia Infection
Genetic Operators
Experiments and Results
Optimization of the Rastrigin Function
Optimization of the Rosenbrock Function
Optimization of the Schwefel Function
Optimization of the Shifted Elliptic Function
Discussion
References
Neural Networks Solving Free Final Time Optimal Control Problem
Introduction
Optimal Control Problem
Discretization of Optimal Control Problem
Adaptive Critic Neural Network for Optimal Control Problem with Control and State Constraints and Fr
A Mechanistic Model of Phytoplankton Photosynthesis
Description of the Model
Optimization of Photosynthetic Production
Local Optimality
Global Optimality
Conclusion
References
Comparing Different Operators and Models to Improve a Multiobjective Artificial Bee Colony Algorithm
Introduction
Inferring Phylogenies
Maximum Parsimony Criterion
Maximum Likelihood Criterion
Multiobjective Artificial Bee Colony
MOABC Design
Experimental Methodology and Results
Conclusions and Future Research Lines
References
Tissue P Systems with Cell Separation: Upper Bound by PSPACE
Introduction
Tissue P Systems with Cell Separation
Basic Definition
Recognizer Tissue P Systems with Cell Separation
Polynomial Complexity Classes of Tissue P Systems
Simulation of Tissue P Systems with Cell Separation in Polynomial Space
Discussion
References
Maze Exploration with Molecular-Scale Walkers
Introduction
Molecular Spiders
Abstract Model of Molecular Spider Motion for Maze Exploration
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