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


Special Issue On: Recent Advances in Machine Learning & Evolutionary Computation

Submission Due Date
9/30/2017

Guest Editors
Dr. Suresh Dara, Professor/CSE, B.V. Raju Institute of Technology, Narsapur, Telangana, India
Dr. Srikanth Jannu, Professor/CSE, Vaagdevi Engineering College, Warangal, Telangana, India
Dr. Baijnath Kaushik, Associate Professor/CSE, Shri Mata Vaishno Devi University, Jammu & Kashmir, India

Introduction
In the recent years, machine learning and computational intelligence are emerged as powerful techniques for solving optimized problems and NP hard problems. These provides algorithms and tools that are useful for solving many optimization problems, classification and regression tasks in the supervised learning problems, clustering and frequent pattern mining tasks in unsupervised learning problems, tasks of controlling the behavior of machines in reinforcement learning problems.

Objective
The objective of this special issue is to provide an opportunity for the researchers, engineers, developers and practitioners from academia and industry to address the experimental, theoretical work and methods in solving problems and to share their experience, exchange and cross-fertilize their ideas in the fields of Machine Learning and Computational Intelligence.

The issue will carry revised and substantially extended versions of presented research contribution at The International Conference on Machine Learning & Computational Intelligence (ICMLCI-2017) (http://icmlci.smvdu.ac.in/index.html), however this issue is also open for all.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • Bio-inspired systems
  • Machine learning
  • Data visualization
  • Decision Support Systems
  • Evolutionary algorithms and programming
  • Evolutionary computing
  • Financial modeling
  • Fuzzy computing
  • Natural computing
  • Neural Computing
  • Data Mining, Data Science and Big Data
  • Classification Systems
  • Association Rules
  • Clustering
  • Social Media, Social Networking, Social Data
  • Features Selection
  • Rough Set Applied to Nature
  • Genetic Algorithms
  • Neural Network
  • Applications of Nature Algorithms and Machine Learning
  • Support vector regression
  • Time series prediction


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Recent Advances in Machine Learning & Evolutionary Computation on or before September 30th, 2017. 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/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Suresh Dara and Dr. Srikanth Jannu
Guest Editor(s)
International Journal of Applied Evolutionary Computation (IJAEC)
E-mail: suresh.dara@bvrit.ac.in; j.srikanth@live.com

PLEASE NOTE: All submissions should be created using the link below ↴

Special Issue On: Modern Hybrid Heuristic Optimization Techniques

Submission Due Date
1/10/2018

Guest Editors
Dr. Tarun Kumar Sharma
Associate Professor, Amity School of Engineering & Technology
Amity University Rajasthan
Jaipur, India
taruniitr1@gmail.com

Dr. Millie Pant
Associate Professor, Department of Applied Science and Engineering
IIT Roorkee, India
millidma@gmail.com

Prof. Ajith Abraham
Director, Machine Intelligence Research Lab (MIR), USA
ajith.abraham@ieee.org

Dr. Sebastian Basterrech
Department of Computer Science, Faculty of Electrical Engineering
Czech Technical University
Prague, Czech Republic
Sebastian.Basterrech@fel.cvut.cz

Introduction
Several heuristic tools have evolved in the past decades that facilitate solving optimization problems that were previously difficult or impossible to solve. These tools include Evolutionary computation, Simulated annealing, Tabu search, Genetic Algorithms, Differential Evolution, Particle Swarms, Ant Colony, Memetic Computing, Bacterial Foraging, Artificial Bees, and so forth. Developing solutions with these tools offers two major advantages: (1) development time is much shorter than when using more traditional approaches, and (2) the systems are very robust, being relatively insensitive to noisy and/or missing data.

Objective
The primary objective is to provide a good understanding of the design issues involved in tailoring hybrid heuristic algorithms to real-world problems, to compare and judge the efficacy of modern hybrid heuristic optimization techniques with other more classic methods of optimization, and to program fundamental evolutionary algorithms and other heuristic optimization routines.

The issue will carry revised and substantially extended versions of presented research contribution at the International Conference on 2nd International Conference on Soft Computing: Theories and Applications (SoCTA2017: http://socta.in/index.html#), however this issue is also open for all.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

  • Computer vision
  • Signal processing
  • Military
  • Surveillance
  • Robotics
  • Medicine
  • Pattern recognition
  • Face recognition
  • Finger print recognition
  • Finance and marketing
  • Stock market
  • Education
  • Emerging applications


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Modern Hybrid Heuristic optimization techniques on or before 10 January 2018. 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/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Tarun Kumar Sharma
Guest Editor
International Journal of Applied Evolutionary Computation
E-mail: taruniitr1@gmail.com

PLEASE NOTE: All papers should be submitted using the button below ↴