Soft Computing Applications (Studies in Computational Intelligence, 761)

✍ Scribed by Kanad Ray (editor), Millie Pant (editor), Anirban Bandyopadhyay (editor)

• Publisher: Springer
• Year: 2018
• Tongue: English
• Leaves: 170
• Category: Library

✦ Synopsis

This book provides a reference guide for researchers, scientists and industrialists working in the area of soft computing, and highlights the latest advances in and applications of soft computing techniques in multidisciplinary areas. Gathering papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2016), which was held in Jaipur, Rajasthan, India, on December 28–30, 2016, it focuses on applying soft computing to solve real-life problems arising in various domains, from medical and healthcare to supply chain management, image processing and cryptanalysis.

The term soft computing represents an umbrella term for computational techniques like fuzzy logic, neural networks and nature inspired algorithms. In the past few decades, there has been an exponential rise in the application of soft computing techniques to address complex and intricate problems in diverse spheres of life. The versatility of these techniques has made them a favourite among scientists and researchers alike.

✦ Table of Contents

Preface
Contents
About the Editors
1 A Brain-like Computer Made of Time Crystal: Could a Metric of Prime Alone Replace a User and Alleviate Programming Forever?
Abstract
1 Introduction
2 Here Are Twelve Properties of a Time Crystal that Advances the Winfree’s Original Concept
3 Three Advanced Features of Time Crystal Suitable for Information Processing
4 The Necessity of a Universal Metric that Regulates Spontaneous Self-assembly of Time Metric
5 The Operational Mechanisms of the Non-computer
6 How Phase Prime Metric Replaces the User and Enables Self-programming
7 The Use of the Pattern of Primes in Integrating the Time Crystals Has Ten Major Advantages
8 When One Does Requires a Truly Bioinspired Computer?
9 What Is Non-computing? Definition of a Non-computer [4]
10 Critical Challenges and the Weaknesses of a Non-computer
11 A Comparative Study Between Time Crystal Computing and the Artificial Intelligence
12 Future of Fractal Computing
Acknowledgements
Chap1
Glossary
References
2 Analysis of News in the Hindustan Times and India Today
Abstract
1 Introduction
2 Methods and Tools
2.1 Code Development for the Analysis
3 Problem Formulation for Data Analysis and Test Parameters
3.1 E-papers Used in the Study
3.2 Data Set and Duration
3.3 Countries Used for Comparison
3.4 Popularity Analysis of Indian Politicians
3.5 Popularity Analysis of Indian Political Parties
3.6 Popularity Analysis of Indian Regions (States and Major Cities)
3.7 Concept/Keyword/Class Used
4 Results and Discussion
5 Conclusion
References
3 Optimum Selection of Energy-Efficient Material: A MCDM-Based Distance Approach
Abstract
1 Introduction
2 Problem Formulation
3 Methodology and Findings
4 Sensitivity Analysis
5 Conclusion and Future Scope
Acknowledgements
References
4 Role of Sodium, Potassium and Synaptic Conductance in STN-GPe Model of Basal Ganglia in Parkinson Disease
Abstract
1 Introduction
2 Architecture of Subthalamic Nucleus and Globus Pallidus External in Basal Ganglia in Parkinson Disease
3 Formation of STN-GPe Model
4 Analysis of Discharge Patterns Within STN-GPe Model of Basal Ganglia in Parkinson Disease
4.1 Effect of Synaptic Conductance on STN-GPe Model in Parkinson Disease
4.2 Effect of Potassium Membrane Potential on STN-GPe Model in Parkinson Disease
4.3 Effect of Sodium Membrane Potential on STN-GPe Model in Parkinson Disease
5 Conclusion
Acknowledgements
References
5 A New Hybrid Algorithm Using Chaos-Enhanced Differential Evolution for Loss Minimization with Improvement of Voltage Profile of Distribution Systems
Abstract
1 Introduction
2 Problem Formulation
2.1 Power Loss Calculation
2.2 Cumulative Voltage Deviation
2.3 Objective Function Formulation
2.4 Constraints
3 Power Loss Index
4 Differential Evolution (DE)
4.1 Initialization
4.2 Mutation Operation
4.3 Crossover Operation
4.4 Selection Operation
5 Tent Map Differential Evolution (TMDE)
6 Simulation Results
7 Conclusion
Acknowledgements
References
6 Fractal and Periodical Biological Antennas: Hidden Topologies in DNA, Wasps and Retina in the Eye
Abstract
1 Introduction
2 Underlying Mechanism for Distribution of Electric and Magnetic Energies Over an Insect’s Body
3 Energy Propagation Through the DNA Structure
4 Delocalization of Electric and Magnetic Field Energies in Photoreceptor Cells
5 Conclusions
References
7 Efficient Multiprocessor Scheduling Using Water Cycle Algorithm
Abstract
1 Introduction
2 The Problem
3 Methodology
4 Simulations
5 Conclusion
References
8 Estimating Software Reliability Growth Model Parameters Using Opposition-Based Shuffled Frog-Leaping Algorithm
Abstract
1 Introduction
2 SRGM: Software Reliability Growth Models
2.1 EXP Model
2.2 POW
2.3 DSS
3 Brief Description of SFLA
3.1 Initialization of Frog Population
3.2 Sorting and Division of Frogs in Memeplexes
3.3 Local Searching Process
3.4 Information Exchange or Shuffling Process
4 Proposed O-SFLA
5 Test Bed, Experimental Settings and Results
6 Simulated Results
6.1 Benchmark Problems
6.2 Local Searching Process
7 Conclusions of the Study and the Future Scope
References
Author Index