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Soft Computing for Problem Solving

SocProS 2017, Volume 2

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Jagdish Chand Bansal

    1. Department of Mathematics, South Asian University, New Delhi, India

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  2. Kedar Nath Das

    1. Department of Mathematics, National Institute of Technology Silchar, Silchar, India

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  3. Atulya Nagar

    1. Department of Mathematics and Computer Science, Faculty of Science, Liverpool Hope University, Liverpool, UK

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  4. Kusum Deep

    1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

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  5. Akshay Kumar Ojha

    1. School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India

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  • Presents the latest research in the field of soft computing
  • Investigates potential applications employing recent advances
  • Encourages practitioners/researchers to enhance their problem-solving abilities using optimization

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 817)

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Table of contents (77 papers)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Satellite Horizon Effects on Temporal GPS Receiver Position Accuracy over Coastal Area of South India

    • G. Sasibhushana Rao, B. Lavanya, N. Ashok Kumar
    Pages 1-9

  3. GA_NN: An Intelligent Classification System for Diabetes

    • Dilip Kumar Choubey, Sanchita Paul, Vinay Kumar Dhandhania
    Pages 11-23

  4. Application of Computer Simulation in Exploring Influence of Alcohol on Aqueous Milieu of a Gut-Brain Octapeptide, Cholecystokinin-8

    • Apramita Chand, Pragin Chettiyankandy, Snehasis Chowdhuri
    Pages 25-40

  5. Long Short-Term Memory Recurrent Neural Network Architectures for Melody Generation

    • Abhinav Mishra, Kshitij Tripathi, Lakshay Gupta, Krishna Pratap Singh
    Pages 41-55

  6. A Survey on Recurrent Neural Network Architectures for Sequential Learning

    • B. Shiva Prakash, K. V. Sanjeev, Ramesh Prakash, K. Chandrasekaran
    Pages 57-66

  7. Test Case Generation and Optimization for Critical Path Testing Using Genetic Algorithm

    • Deepti Bala Mishra, Rajashree Mishra, Kedar Nath Das, Arup Abhinna Acharya
    Pages 67-80

  8. A Novel PID Controller Designed via Polynomial Approach for Stable/Unstable Second-Order Process with Time Delay

    • M. Praveen Kumar, M. Manimozhi, P. Ponnambalam, G. Gokulakrishnan
    Pages 81-92

  9. Identification of Bad Data from Phasor Measurement Units Using Evolutionary Algorithms

    • Polly Thomas, Emil Ninan Skariah, Sheena Thomas, Sandy J. Thomson, Shanmugam Prabhakar Karthikeyan
    Pages 93-105

  10. Image Compression Using Neural Network for Biomedical Applications

    • G. Sasibhushana Rao, G. Vimala Kumari, B. Prabhakara Rao
    Pages 107-119

  11. Symmetrical Cascaded Switched-Diode Multilevel Inverter with Fuzzy Controller

    • Y. Viswanath, K. Muralikumar, P. Ponnambalam, M. Praveen Kumar
    Pages 121-137

  12. An Optimized Path Planning for the Mobile Robot Using Potential Field Method and PSO Algorithm

    • Ravi Kumar Mandava, Sukesh Bondada, Pandu R. Vundavilli
    Pages 139-150

  13. Recommendation Systems: Techniques, Challenges, Application, and Evaluation

    • Sandeep K. Raghuwanshi, R. K. Pateriya
    Pages 151-164

  14. Parametric Optimization of Turning Process Using Evolutionary Optimization Techniques—A Review (2000–2016)

    • Parthiv B. Rana, Jigar L. Patel, D. I. Lalwani
    Pages 165-180

  15. Image Captioning-Based Image Search Engine: An Alternative to Retrieval by Metadata

    • Sethurathienam Iyer, Shubham Chaturvedi, Tirtharaj Dash
    Pages 181-191

  16. Minimization of Makespan for Parallel Machines Using PSO to Enhance Caching of MSA-Based Multi-query Processes

    • Soniya Lalwani, Harish Sharma, Abhay Verma, Kusum Deep
    Pages 193-205

  17. Efficient License Plate Recognition System with Smarter Interpretation Through IoT

    • K. Tejas, K. Ashok Reddy, D. Pradeep Reddy, K. P. Bharath, R. Karthik, M. Rajesh Kumar
    Pages 207-220

  18. Image Pixel Prediction from Neighborhood Pixels Using Multilayer Perceptron

    • Ayonya Prabhakaran, Rajarshi Pal
    Pages 221-230

  19. Classification of Histopathological Images Through Bag-of-Visual-Words and Gravitational Search Algorithm

    • Himanshu Mittal, Mukesh Saraswat
    Pages 231-241

  20. Sentiment Score Analysis and Topic Modelling for GST Implementation in India

    • Nidhi Singh, Nonita Sharma, Ajay K. Sharma, Akanksha Juneja
    Pages 243-254
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Keywords

About this book

This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

Editors and Affiliations

  • Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  • Department of Mathematics, National Institute of Technology Silchar, Silchar, India

    Kedar Nath Das

  • Department of Mathematics and Computer Science, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  • Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  • School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India

    Akshay Kumar Ojha

About the editors

Dr. Jagdish Chand Bansal is an Assistant Professor at the South Asian University, New Delhi, India and visiting research fellow at Liverpool Hope University, Liverpool UK. He has an excellent academic record and is a leading researcher in the field of swarm intelligence and has published numerous research papers in respected international and national journals.

Dr. Kedar Nath Das is an Assistant Professor at the Department of Mathematics, National Institute of Technology, Silchar, Assam, India. Over the past 10 years, he has made substantial contributions to research on ‘soft computing’. He has published several research papers in prominent national and international journals. His chief area of interest is in evolutionary and bio-inspired algorithms for optimization.

Prof. Atulya Nagar holds the Foundation Chair as Professor of Mathematical Sciences and is Dean of the Faculty of Science at Liverpool Hope University, UK. Prof. Nagar is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering.

Prof. Kusum Deep is a Professor at the Department of Mathematics, Indian Institute of Technology Roorkee, India. Over the past 25 years, her research has made her a central international figure in the area of nature-inspired optimization techniques, genetic algorithms and particle swarm optimization.

Dr. Akshay Kumar Ojha is Associate Professor at the School of Basic Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India. He completed his B.Sc., M.Sc., and Ph.D. at Utkal University in 1978, 1980, and 1997, respectively. His research interest areas are geometric programming, artificial neural networks, genetic algorithms, particle swarm optimization, fractional programming, nonlinear optimization, data analysis and optimization, and portfolio optimization. Dr. Ojha has 34 years of experience and has published over 30 journal articles and 6 books.

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