Calls for Papers (special): International Journal of Applied Evolutionary Computation (IJAEC)


Special Issue On: Blockchain Technology in Supply Chain Management

Submission Due Date
8/1/2020

Guest Editors
Dr Roberto Moro Visconti
Università Cattolica del Sacro Cuore Via Necchi
Email roberto.moro@unicatt.it

Ganesh Chandra Deka
Directorate General of Training, Ministry of Skill Development & Entrepreneurship Government of India
New Delhi, India
Email - ganeshdeka2000@gmail.com

Introduction
Blockchain works on a distributed ledger ensuring transparency and security. Blockchain can help in reducing time order processing, procurement process, demand management, supply management, pricing agreements and logistics. Blockchain can also revolutionize the collaborative forecasting and customer forecast aspect thereby improving demand visibility. It can impact the planning and replenishment transactions and supply information sharing thereby improving visibility. Blockchain can help form industry level consortiums. There is food sector consortium, healthcare, car ownership, semiconductor consortiums being setup with blockchain. Basic supply chain functions like sales, manufacturing and procurement can be turned completely transparent with blockchain. Blockchain can influence every business aspect from master data management, order processing, strategic and operational procurement, demand management, supply management, special pricing agreements, logistics etc.]

Objective
This Special Issue deliberates upon prospects of Blockchain technology in Supply Chain Management

Recommended Topics
1) Blockchain driven Order Management
2) Blockchain driven Procurement transparency
3) Blockchain driven Demand Management
4) Demand Visibility with Blockchain
5) Blockchain driven Supply Management
6) Blockchain driven Manufacturing Management
7) Distribution Industry specific use case and Blockchain Pricing Agreements and Country of Origin
8) Supply Chain Synchronization using Blockchain
9) Formation of Industry consortiums for industry specific supply chain using Blockchain

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Blockchain Technology in Supply Chain Management on or before August 1st, 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.

All inquiries should be directed to the attention of:
Ganesh Chandra Deka
Guest Editor
International Journal of Applied Evolutionary Computation (IJAEC)
E-mail: ganeshdeka2000@gmail.com

Special Issue On: New, Hybrid and Improved Local and Global Searching Methods for Solving Complex Problems

Submission Due Date
8/31/2020

Guest Editors
Dr. Habib Shah, Department of Computer Science, College of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia

Introduction
In computer and mathematical sciences, both local and global optimization methods have their own advantages and disadvantage respectively, one can use them both in the algorithm, while global version is used to get quick result and local version can refine the search space. Based on the improvement of single variable, hybridization, guided, merging can enhance and improve the performance of the given local or global search algorithm for solving complex problems. These methods can particularly increase the exploration and exploitation process in a balance way for achieving the optimal results of particular complex science, engineering problems. These proposed methods normally increase the efficiency and effectiveness as well in various domain of problems. Based on that, the researchers already focused how to improve the existence local and global search method through the proposed effective methodologies

Objective
This special issue aims to demonstrate how to solve hard computer science, mathematical and engineering problems by using the new, improved, hybrid local and global search algorithms in various applications such as classification, numerical function optimization, prediction, detection and so on. This issue seeks to publish unique and latest research and reflect the most recent advances and the latest contributions of optimization in the subject areas below, covering soft computing, Data mining, machine learning. The field of local and global optimization methods are vast, flexible, and interesting; therefore, the scope of this special issue has been kept wide.

Recommended Topics
• Simulated annealing and genetic optimization,
• Local gradient-based optimization,
• Steepest Descent
• Newton, Quasi-Newton, levenberg marquardt based methods
• Multiobjective Evolutionary Algorithm
• Tabu Search
• Single objective optimization
• Conjugate Gradient
• Guided Local and Global search methods
• Artificial Bee Colony
• Negative Selection Algorithm
• Bat Algorithm
• Machine Learning with Local and Global Learning Methods

Complex Optimization Problems:
• Variables
• Objective functions
• Constraints
• Discrete vs Continuous
• Available information
• Optimality
• Problem size
• Univariate and multivariate classification and prediction
• Travelling salesman problem

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on New, Hybrid and Improved Local and Global Searching Methods for Solving Complex Problems on or before 31, August, 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.

All inquiries should be directed to the attention of:
Dr. Habib Shah
Guest Editor
International Journal of Applied Evolutionary Computation
E-mail: habibshah.uthm@gmail.com