Calls for Papers (special): International Journal of Applied Metaheuristic Computing (IJAMC)


Special Issue On: Advanced Metaheuristic Computing for Engineering Applications

Submission Due Date
11/30/2017

Guest Editors
Nilanjan Dey, PhD., Techno India College of Technology, Kolkata, India
Manju Khari, PhDc., National Institute of Technology Patna, India
Harihar Kalia, PhD., Seemanta Engineering College, Orissa, India
Amira S. Ashour, PhD., Tanta University, Egypt

Introduction
Optimization problems solving is an active research area including approximate and exact algorithms. Designing and implementing optimization algorithms are based on several methods such as branch-and-bound methods and dynamic programming. These optimization algorithms have superior performance in many problems. However, in several applications, the search space increases exponentially with the problem size. Thus, this exhaustive search is impractical in solving such problems. In order to overcome such limitations and to solve efficiently larger scale of combinatorial and highly non-linear optimization problems, a set of more flexible and adaptable algorithms are compulsory. Based on this inspiration, numerous algorithms usually inspired by natural phenomena have been designed and developed by researchers to solve engineering problems. Some meta-heuristic search algorithms with population-based framework are capable to handle high dimension optimization real-world engineering problems in several domains including medical, industry, education, and military.

Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Firefly algorithm (FFA), Artificial Immune System (AIS), Intelligent Water Drops (IWD), River Formation Dynamics (RFD), Social Group Optimization (SGO) algorithm, Gravitational Search Algorithm (GSA) and Charged System Search (CSS) are efficiently designed and implemented. Such algorithms and their developed schemes provide superior performance in extensive range of problems such as pattern recognition, image processing, neural network training, function optimization, data mining, and combinatorial optimization problems to support various applications.

This special issue has the intention to provide an overview of bio-inspired algorithms as well as population-based meta-heuristics. The main goal is to achieve outstanding research and improvements in the metaheuristics domain and their applications in wide range of engineering applications. Designing new bio-inspired algorithms is one of the special issue goals.

Objective
This call for papers is for a special issue of IJAMC dedicated to high quality papers in the bio-inspired engineering applications. Our objective is to publish the latest new trends and advancements in the related topics. Establishing a scientific forum to introduce the researchers’ thoughts and developments for bio-inspired optimization algorithms and their applications in several domains is our main concern.

Recommended Topics
  • Concept of meta-heuristic and Bio-inspired Algorithms
  • Classification of meta-heuristic algorithms
  • Nature-inspired alongside with non-nature inspired
  • Population-based Applications
  • Dynamic and Static Objective Functions
  • Analysis and Modeling of meta-heuristic/bio-inspired computing
  • --- Genetic Algorithm (GA)
  • --- Particle Swarm Optimization (PSO)
  • --- Cuckoo Search (CS) Algorithm
  • --- Ant Colony Optimization (ACO)
  • --- Artificial Bee Colony (ABC)
  • --- Firefly algorithm (FFA)
  • --- Artificial Immune System (AIS)
  • --- Intelligent Water Drops (IWD)
  • --- River Formation Dynamics (RFD)
  • --- Social Group Optimization (SGO) Algorithm
  • --- Gravitational Search Algorithm (GSA)
  • --- Charged System Search (CSS)
  • Bio-inspired based Machine learning
  • Pattern Recognition based on Bio-inspired Optimization Algorithms
  • Applications of bio-inspired algorithms in Engineering Applications


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on "Advanced Metaheuristic Computing for Engineering Applications" on or before November 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/development/author_info/guidelines submission.pdf. 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:
Nilanjan Dey, PhD
neelanjan.dey@gmail.com

Special Issue On: Intelligent Solutions to Engineering Design Problems

Submission Due Date
1/10/2018

Guest Editors
Dr. Tarun Kumar Sharma
Associate Professor, Amity School of Engineering and Technology
Amity University Rajasthan
Jaipur, India
taruniitr1@gmail.com; tksharma@jpr.amity.edu

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

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

Introduction
The aim of the special issue is to highlight the latest advances, problems and challenges and to present the latest research results in the field of Intelligent techniques (GA, PSO, DE, ACO, BFO and alike) with a link to scientific research and its practical implementation.

Objective
In the past few decades there have been an exponential rise in the applications intelligent algorithms (evolutionary, swarm, biological and nature inspired optimization methods) for solving intricate problems arising in different domains of engineering design. The versatility of these intelligent techniques are enabling the improvement in engineering design and optimization in areas, where the classical optimization techniques were not able to deal with real engineering problems.

The primary objective of this special issue is to bring forward thorough, in-depth, and well-focused developments various intelligent or hybrid intelligent methods in various engineering design.

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

  • Advances of genetic algorithms
  • Evolution strategies
  • Differential evolution
  • Particle
  • Swarm
  • Ant Colony
  • Artificial bee colony and a like method for engineering applications are welcomed, both for single objective and multi-objective optimization problems

Potential topics include but are not limited to the following:

  • Design and Analysis of Swarm Intelligence Algorithms
  • Software Engineering
  • Chemical engineering
  • Civil engineering
  • Mechanical engineering
  • Electronics engineering
  • Industrial engineering
  • Aerospace and aeronautical engineering
  • Biomedical engineering
  • Electrical engineering
  • Naval architecture
  • Structural engineering
  • Telecommunications engineering


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Intelligent Solutions to Engineering Design Problems 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:
Dr. Tarun Kumar Sharma
Guest Editor
International Journal of Applied Metaheuristic Computing (IJAMC)
E-mail: taruniitr1@gmail.com

PLEASE NOTE: All articles should be submitted using the button below.