Handbook of Research on Natural Computing for Optimization Problems

• #1. Realizing the Need for Intelligent Optimization Tool
• #2. MRI Brain Image Segmentation Using Interactive Multiobjective Evolutionary Approach
• #3. A Genetic Algorithm to Goal Programming Model for Crop Production with Interval Data Uncertainty
• #4. A System on Chip Development of Customizable GA Architecture for Real Parameter Optimization Problem
• #5. Genetic-Algorithm-Based Optimization of Fragile Watermarking in Discrete Hartley Transform Domain
• #6. Genetic-Algorithm-Based Optimization of Clustering in Mobile Ad Hoc Network
• #7. Optimizing Solution for Storage Space Allocation Problem in Container Terminal Using Genetic Algorithm
• #8. Evolutionary Computing to Examine Variation in Proteins with Evolution
• #9. Evolutionary Algorithms for Economic Load Dispatch Having Multiple Types of Cost Functions
• #10. Source Location Privacy Using Ant Colony Optimization in Wireless Sensor Networks
• #11. Evolutionary Computing Approaches for Clustering and Routing in Wireless Sensor Networks
• #12. Balanced Energy Consumption Approach Based on Ant Colony in Wireless Sensor Networks
• #13. Variable Length PSO-Based Image Clustering for Image Denoising
• #14. An Intelligent Approach for Tracking and Monitoring Objects in a Departmental Store Using PSO
• #15. Particle Swarm Optimization (PSO) for Optimization in Video Steganography
• #16. A Secure Data-Hiding Approach Using Particle Swarm Optimization and Pixel Value Difference
• #17. Natural Computing in Mobile Network Optimization
• #18. A Comparison among Multi-Agent Stochastic Optimization Algorithms for State Feedback Regulator Design of a Twin Rotor MIMO System
• #19. Optimized Energy Aware VM Provisioning in Green Cloud Based on Cuckoo Search with Levy Flight
• #20. Adaptive Simulated Annealing Algorithm to Solve Bio-Molecular Optimization
• #21. A Hybrid Model of FLANN and Firefly Algorithm for Classification
• #22. Applicability of ANN in Adsorptive Removal of Cd(II) from Aqueous Solution
• #23. Learning from Unbalanced Stream Data in Non-Stationary Environments Using Logistic Regression Model: A Novel Approach Using Machine Learning for Assessment of Credit Card Frauds
• #24. Soft-Computing-Based Optimization of Low Return Loss Multiband Microstrip Patch Antenna
• #25. Cellular Automata-Basics: Applications in Problem Solving
• #26. Overview of Cellular Computing-Basic Principles and Applications
• #27. Sustainability of Public Key Cryptosystem in Quantum Computing Paradigm
• #28. Image Representation, Filtering, and Natural Computing in a Multivalued Quantum System
• #29. Introduction to Molecular Computation: Theory and Applications – DNA and Membrane Computing
• #30. DNA Computing Using Carbon Nanotube-DNA Hybrid Nanostructure
• #31. DNA Cryptography
• #32. An Optimized In Silico Neuroinformatics Approach: Positive Regulation via DNA Interaction in Cellular Decisions for Arg to Ala Mutation in SOX11
• #33. Application of Fuzzy Logic and Fuzzy Optimization Techniques in Medical Image Processing
• #34. Using Fuzzy Goal Programming with Penalty Functions for Solving EEPGD Problem via Genetic Algorithm
• #35. Genetic Algorithm for FGP Model of a Multiobjective Bilevel Programming Problem in Uncertain Environment
• #36. Vedic Sutras: A New Paradigm for Optimizing Arithmetic Operations
• #37. A Web-Based Collaborative Learning System Using Concept Maps: Architecture and Evaluation
• #38. Active Contour Model for Medical Applications
• #39. Optimization of Crime Scene Reconstruction Based on Bloodstain Patterns and Machine Learning Techniques
• #40. From Cochlear Implants and Neurotology to Brain Computer Interfaces: Exploring the World of Neuron Synapses for Hearing Impairments

Kumar Jyotsna Mandal, M. Tech.(Computer Science, University of Calcutta), Ph.D.(Engg.,Jadavpur University) in the field of Data Compression and Error Correction Techniques, Professor in Computer Science and Engineering, University of Kalyani, India. He is the Life Member of Computer Society of India since 1992 and life member of cryptology Research Society of India. He is the Ex-Dean Faculty of Engineering, Technology & management, working in the field of Network Security, Steganography, Remote Sensing & GIS Application and Image Processing. He has 28 years of teaching and research experiences. Fifteen Scholars awarded Ph.D. and eight are pursuing. Total number of publications is three hundred sixty in addition of publication of five books from LAP Lambert, Germany.

Somnath Mukhopadhyay is currently working as an Assistant Professor in department of Information Technology in Calcutta Business School, Kolkata. He has done MCA from University of Burdwan 2008 and M.Tech in Computer Science and Engineering from University of Kalyani in 2011. He has a doctoral degree from University of Kalyani in 2015 in the field of Digital Image Processing. He has attended many national and international conferences in India. He is an active member of the board of reviewers in various International Journals and Conferences. His research interests include soft and evolutionary computing, digital image processing, and big data. He has four years of teaching and research experiences.

Tandra Pal received the B.Sc. degree (honors) in physics, the B.Tech. degree in computer science from Calcutta University, Kolkata, India, the M.E. degree in computer science and the Ph.D. degree in Engineering from Jadavpur University, Kolkatata, India. Currently she is Associate Professor in Computer Science and Engineering department of National Institute of Technology, Durgapur, India. She is working here since 1994. Her research interest includes fuzzy sets theory, fuzzy control, fuzzy decision making, artificial neural networks, evolutionary computing, and multi-objective genetic algorithms.