Proceedings of Fourth International Conference on Soft Computing for Problem Solving
SocProS 2014, Volume 1
(Sprache: Englisch)
The Proceedings of SocProS 2014 serves as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms,...
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The Proceedings of SocProS 2014 serves as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of 'Soft Computing'. The book is beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task.The different application areas covered in the Proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Healthcare, Networking Optimization Problems, etc.
Inhaltsverzeichnis zu „Proceedings of Fourth International Conference on Soft Computing for Problem Solving “
- Solving the 0-1 Knapsack Problem Using Genetic Algorithm - Teaching Learning Based Optimization Algorithms- Cluster Head Selection Using Modified ACO
- Comparison of Soft Computing Techniques for Modelling Resistance Spot Welding Process
- A Fuzzy Multi-Criteria Decision Making Model for Green Electrical Discharge Machining
- Two Warehouse Reverse Logistic Inventory Model for Deteriorating Item under Learning Effect
- An Integrated Approach of Logarithmic Transformation and Histogram Equalization for Image Enhancement
- Genetic Algorithms, a Nature-Inspired Tool: Review of Applications in Supply Chain Management
- Data Mining in Market Segmentation: A Literature Review and Suggestions
- Cuckoo Search Optimization for Job Shop Scheduling Problem
- Artificial Neural Network Technique for the Solution of Non-Linear Elliptic Boundary Value Problems
- Scene Classification Using Fuzzy Uncertainty Texture Spectrum
- Parikh Matrices and Words over Ternary Alphabet
- Neuro-Genetic Approach to Predict Scour Depth around Vertical Bridge Abutment
- Rough Fuzzy Classification for Class Imbalanced Data
- Mind Reading by Face Recognition Using Security Enhancement Model
- Enhancement of Power Transfer capability of HVDC Transmission System Using Fuzzy Logic Controller
- Optimization of Clustering in SPIN and LEACH for Data Centric Wireless Sensor Network
- Application of Genetic Algorithm in Optimization of Hydrodynamic Bearings
- Diversity Based Dual Population Genetic Algorithm (DPGA): A Review
- Speed Control of Multilevel Inverter Based Induction Motor Using v/f Method
- Application of New Hybrid Harmony Search Algorithms Based on Cellular Automata Theory for Solving Magic Square Problems
- A Survey on Imaging Based Breast Cancer Detection
- Automated Cervical Cancer Detection Using Pap Smear Images
- Background Subtraction Algorithm for Moving Object Detection Using SAMEER-TU Dataset
- Internet of Things: Route Search Optimization Applying Ant
... mehr
Colony Algorithm & Theory of Computation
- Multi-objective Optimization of Knitted Fabric Comfort and Ultraviolet Radiation Protection by Evolutionary Algorithm
- Optimal Product Design of Textile Spinning Industry Using Simulated Annealing
- Contrast Restoration of Fog-Degraded Image Sequences
- Optimization of Primary Loop Pump Power of a Loop Type Liquid Metal Fast Breeder Reactor with Annular Fuel Using Genetic Algorithm
- Recent Advances on Erythrocyte Image Segmentation for Biomedical Applications
- Optimization Models for Solid Waste Management in Indian Cities: A Study
- Hybridization of Self Organizing Migrating Algorithm with Quadratic Approximation and Non Uniform Mutation for Function Optimization
- Identification of Single and Double Jersey Fabrics Using Proximal Support Vector Machine
- Dynamic Modelling & Simulation of Induction Motor Drives
- Design of PID and FOPID Controllers tuned by Firefly Algorithm for Magnetic Levitation System
- Distance Based analysis for Base Vector Selection in Mutation Operation of Differential Evolutionary Algorithm
- A Novel Chemo-inspired Genetic Algorithm for Economic Load Dispatch with Valve Point Loading Effect
- Engineering Design Optimization Using hybrid (DE-PSO-DE) Algorithm
- Predicting the Risk of Extinction of Species: Impact of Negative Growth Rate and Allee Effect
- Demonstration of Improved Performance of a 4-level DSEP to Enhance the Efficiency in Heterogeneous Wireless Sensor Networks
- Control of Two Link 2-DOF Robot Manipulator Using Fuzzy Logic Techniques: A Review
- Selection of Material under Conflicting Situation Using Simple Ratio Optimization Tech
- An Investigation into Use of Different Soft Artificial Intelligence Techniques in Mechanical Engineering Domain
- On solving Multi-objective Quadratic Programming Problems in a Probabilistic Fuzzy Environment
- Partial Commutation on Some Classes of 2D Picture Languages
- Dynamic Stability Enhancement of Power System Using Intelligent Power System Stabilizer
- An Analytical Study of Ordered Weighted Geometric Averaging Operator on Web Data Set as a MCDM Problem
- A Niching Co-swarm Gravitational Search Algorithm for Multi-modal Optimization
- Comparing Rapid Sort with some existing Sorting Algorithms
- An Ensemble Wrapper Feature Selection for Credit Scoring
- Multi-objective Optimization of Knitted Fabric Comfort and Ultraviolet Radiation Protection by Evolutionary Algorithm
- Optimal Product Design of Textile Spinning Industry Using Simulated Annealing
- Contrast Restoration of Fog-Degraded Image Sequences
- Optimization of Primary Loop Pump Power of a Loop Type Liquid Metal Fast Breeder Reactor with Annular Fuel Using Genetic Algorithm
- Recent Advances on Erythrocyte Image Segmentation for Biomedical Applications
- Optimization Models for Solid Waste Management in Indian Cities: A Study
- Hybridization of Self Organizing Migrating Algorithm with Quadratic Approximation and Non Uniform Mutation for Function Optimization
- Identification of Single and Double Jersey Fabrics Using Proximal Support Vector Machine
- Dynamic Modelling & Simulation of Induction Motor Drives
- Design of PID and FOPID Controllers tuned by Firefly Algorithm for Magnetic Levitation System
- Distance Based analysis for Base Vector Selection in Mutation Operation of Differential Evolutionary Algorithm
- A Novel Chemo-inspired Genetic Algorithm for Economic Load Dispatch with Valve Point Loading Effect
- Engineering Design Optimization Using hybrid (DE-PSO-DE) Algorithm
- Predicting the Risk of Extinction of Species: Impact of Negative Growth Rate and Allee Effect
- Demonstration of Improved Performance of a 4-level DSEP to Enhance the Efficiency in Heterogeneous Wireless Sensor Networks
- Control of Two Link 2-DOF Robot Manipulator Using Fuzzy Logic Techniques: A Review
- Selection of Material under Conflicting Situation Using Simple Ratio Optimization Tech
- An Investigation into Use of Different Soft Artificial Intelligence Techniques in Mechanical Engineering Domain
- On solving Multi-objective Quadratic Programming Problems in a Probabilistic Fuzzy Environment
- Partial Commutation on Some Classes of 2D Picture Languages
- Dynamic Stability Enhancement of Power System Using Intelligent Power System Stabilizer
- An Analytical Study of Ordered Weighted Geometric Averaging Operator on Web Data Set as a MCDM Problem
- A Niching Co-swarm Gravitational Search Algorithm for Multi-modal Optimization
- Comparing Rapid Sort with some existing Sorting Algorithms
- An Ensemble Wrapper Feature Selection for Credit Scoring
... weniger
Autoren-Porträt
Dr. Kedar Nath Das is now working as Assistant Professor in the Department of Mathematics, National Institute of Technology Silchar, Assam, India. Over the last 10 years, he has a good contribution towards research in 'soft computing'. He has many papers to his credit in many journals in national and international level of repute. His area of interest is Evolutionary and Bio-inspired algorithms for optimization.Prof. Kusum Deep is working as a full time professor in the Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India. Over the last 25 years, her research is increasingly well-cited making her a central International figure in the area of Nature Inspired Optimization Techniques, Genetic Algorithms and Particle Swarm Optimization.
Dr. Millie Pant is an Associate Professor with the Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India. She has to her credit several research papers in journals of national and international repute and is a well-known figure in the field of Swarm Intelligence and Evolutionary Algorithms.
Dr. Jagdish Chand Bansal is an Assistant Professor with South Asian University, New Delhi, India. Holding an excellent academic record, he is an excellent researcher in the field of Swarm Intelligence at the national and international level, having several research papers in journals of national and international repute.
Prof. Atulya Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is the Dean of Faculty of Science, at Liverpool Hope University, Liverpool, UK. Prof. Nagar is an internationally recognised scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering and his work is underpinned by strong complexity-theoretic foundations.
Bibliographische Angaben
- 2015, 2015, XIII, 634 Seiten, Maße: 16,9 x 24,1 cm, Kartoniert (TB), Englisch
- Herausgegeben: Kedar Nath Das, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Atulya Nagar
- Verlag: Springer, Berlin
- ISBN-10: 8132222164
- ISBN-13: 9788132222163
Sprache:
Englisch
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