Call for Chapters: Applications of Intelligent Decision Support Systems using Particle Swarm Optimization.

Editors

Dr. G Thippa Reddy, Vellore Institute of Technology, India
Dr. Chiranji Lal Chowdhary, Vellore Institute of Technology, India

Introduction

Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Each particle's movement is influenced by its local best known position, but is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

Objective

Decision Support Systems (DSS) play an important role in helping people at managerial level to make decisions from historical data. Intelligent DSS use concepts like Artificial Intelligence, Machine Learning to extract value from the data automatically and help stakeholders make decisions in a better way.

Advantages of Intelligent DSS are:
It improves performance and effectiveness of the user, it enables faster decision making, it reduces the time taken to solve problems, it reduces training times because experience ofthe experts is available within the programs/algorithms, it provides more evidence in support of a decision, it increases decision maker satisfaction, it provides different perspective to a situation, it helps in automating several business processes. Applications of intelligent DSS include: Intelligent DSS in health care, Sales Prediction, Inventory Management, Education System, Weather Forecasting, etc.


Recommended Topics

Applications of Intelligent Decision Support Systems using Swarm Particle Optimization in:

1) Internet of Things
2) Deep Neural Networks
3) Image Classification
4) Optical Character Recognition (OCR)
5) Supply Chain Management
6) Education System
7) Big Data Analytics
8) Health Care
9) Hybridization of Nature Inspired Computing algorithms.
10) Sales Prediction


Submission Procedure

Researchers and practitioners are invited to submit papers for this special theme issue on “Applications of Intelligent Decision Support Systems using Particle Swarm Optimization” on or before January 31st, 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

Inquiries


Dr. G Thippa Reddy
krish.chaitanya143@gmail.com

Dr. Chiranji Lal Chowdhary
c.l.chowdhary@gmail.com


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