Special Issue Call for Papers

American Journal of Modeling and Optimization

Special Issue on Review and Future Scope of Computational Modeling, Simulation and Optimization Techniques in Engineering Science and Industrial Technology

Modelling, simulation and computational optimization form an integrated part of modern design practice in science and technology. For any design and modelling purpose, the ultimate aim is to gain sufficient insight into the system of interest so as to provide more accurate predictions and better designs. As resources are limited in every field, to minimize the cost and energy consumption, and to maximize the performance, profits and efficiency can be crucially important in all designs. The stringent requirements of minimizing environmental impact and carbon footprint require a paradigm shift in scientific thinking and design practice. However, real-world problems are usually far more complex than models can capture and far more nonlinear than optimization tools can handle; consequently, approximations are necessity as well as a practical possibility. Most design optimization typically involves uncertainty in material properties and parameters. In this case, optimal design does not necessarily mean robust. In fact, we often have to settle for the robust, suboptimal design options. After all, we wish to solve our design and modelling problems with sufficiently good accuracy assuming reasonable time expenditures.

Modelling and simulation is getting information about how something will behave without actually testing it in real life. For instance, if we wanted to design a race car, but weren't sure what type of spoiler would improve traction the most, we would be able to use a computer simulation of the car to estimate the effect of different spoiler shapes on the coefficient of friction in a turn. We're getting useful insights about different decisions we could make for the car without actually building the car.

More generally, modeling and simulation is using models, including emulators, prototypes and stimulators, either statically or over time, to develop data as a basis for making managerial or technical decisions. The terms "modeling" and "simulation" are often used interchangeably. The use of modeling and simulation in all emerging areas of science and engineering is well recognized. Simulation technology belongs to the tool set of engineers of all application domains and has been included in the body of knowledge of engineering management. M & S has already helped to reduce costs, increase the quality of products and systems, and document and archive lessons learned. M & S is a discipline on its own. Its many application domains often lead to the assumption that M & S is pure application. This is not the case and needs to be recognized by engineering management experts who want to use M & S. To ensure that the results of simulation are applicable to the real world, the engineering manager must understand the assumptions, conceptualizations, and implementation constraints of this emerging field.

Despite of significant progress in the field of modelling, simulation and computational optimization during the last few decades, many challenging issues still remain unresolved. Challenges may be related to various aspects and depend on many intertwined factors. In the current context, such challenges are related to nonlinearity, scale of the problem, time constraint and the complexity of the system. First, many problems are highly nonlinear, and thus their objective landscapes are multimodal. Consequently, multiple optima may be present. Many traditional algorithms do not cope well with such high multimodality. This necessitates new techniques to be developed. Second, many real-world problems may be very large-scale, though most optimization methods are tested over small-scale problems. Third, by far the most important factor concerning the solution process is the time constraint. Solutions have to be obtained within a reasonably time, ideally instantaneously in many applications, which poses additional challenges. Finally, the systems we try to model are usually very complex; however, we often use over-simpli

About the issue

The scope of topics covered in the this issue include:

  • Linear and nonlinear Programming
  • Integer Programming
  • Goal Programming
  • Quadratic Programming and Related Topics
  • Model Analysis
  • Multi-objective Optimization
  • Network Optimization
  • Inventory Control
  • Queueing control
  • Non-differentiable Optimization
  • Non-differentiable Optimization
  • Operations Research
  • Optimal design and Control
  • Parallel Optimization Algorithms
  • Artificial Intelligence
  • Fractional Programming
  • General Constrained Optimization
  • Stochastic Optimization
  • Systems for Optimization
  • Reliability Engineering
  • Simulation and optimization models in emerging areas of Engineering & Technology

Important dates

Submission Deadline: February 25, 2015
Notification of Acceptance: March 25, 2015
Final Version Due: April 25, 2015
Special Issue Publishing Date: May 30, 2015

Chief Guest Editor

Prof. Vishwa Nath Maurya
The University of Fiji, Fiji
U.P. Technical University, Lucknow, India
Email: prof.drvnmaurya@gmail.com, prof_vnmaurya@yahoo.in

Guest Editor

Prof. Ram Bilas Misra
State University of New York, Republic of Korea
Dr. R.M.L. Avadh University, Faizabad, U.P. India
Email: misrarb1@rediffmail.com

Prof. Bijay Singh
Punjab Agricultural University, India
Email: bijaysingh20@hotmail.com

Prof. Chandra K. Jaggi
University of Delhi, New Delhi, India
Email: ckjaggi@yahoo.com

Er. Avadhesh Kumar Maurya
Gautam Buddha Technical University, Lucknow, U.P., India
Email: avadheshmaurya09@gmail.com

Submit your article now

Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Vishwa Nath Maurya at the address: <prof.drvnmaurya@gmail.com, prof_vnmaurya@yahoo.in>

Special Issue on Numerical and Analytical Modeling in the Engineering Applications

In this special issue, it’s aimed to publish all the new achievements in engineering phenomena obtained from numerical or analytical modeling in engineering applications. All modeling in Mechanical, electrical, energy, chemical, etc. can be considered for publication.

About the issue

The scope of topics covered in the this issue include:

  • Heat transfer modeling.
  • Fluid flow modeling.
  • Chemical process modeling.
  • Electrical circuit modeling.
  • Industrial modeling.
  • Stress modeling.
  • All other engineering modeling can be considered.

Important dates

Submission Deadline: January 01, 2015
Notification of Acceptance: January 15, 2015
Final Version Due: January 30, 2015
Special Issue Publishing Date: March, 2015

Chief Guest Editor

M. Hatami
Esfarayen University of Technology, North Khorasan, Iran
Email: m.hatami2010@gmail.com

Guest Editor

D.D. Ganji
Babol University of Technology, Babol, Iran
Email: Ddg_davood@yahoo.com

Submit your article now

Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, M. Hatami at the address: <m.hatami2010@gmail.com>

Special Issue on Recent Developments and Applications in Modeling, Simulation and Optimization

In the recent times, tremendous advances have been made in the theory, applications and practice in modeling, simulation and optimization. Modeling, simulation and optimization are successfully applied in medicine, finance, engineering, mathematical physics, telecommunication etc.
This special issue intends to publish some ground breaking research results from scientists and engineers across the global. Original papers and critical reviews articles on developments, theory, applications and practice in the thematic topic will be considered too. Contributions are welcome from eminent scholars, students and field workers in the proposed areas, but not limited to the areas only.

About the issue

The topics of this special issue include, but are not limited to:

  • Population based models
  • Multiscale hierarchical modeling
  • Complex systems modeling and simulation
  • Medical and biomedical systems and surgical modeling
  • Bimolecular simulation and metamodeling techniques
  • Climatic, reservoirs design and vehicle routine problems
  • Engineering systems and telecommunication network
  • Nanofluid and nanotechnology
  • Quantitative models, financial models and simulation Modeling, simulation, theory and practice in:
  • Multi–objective optimization
  • Portfolio optimization
  • Combinatorial optimization and neural computing
  • Genetic algorithm
  • Linear and nonlinear programming and applications in the industry and other human endeavors.
  • Education and Practice on Modeling, simulation and optimization would be considered too.

Important dates

Submission Deadline: October 5, 2014
Notification of Acceptance: November 5, 2014
Final Version Due: December 5, 2014
Special Issue Publishing Date: December 20, 2014

Chief Guest Editor

Prof. Anthony Uyi Afuwape
Email: afuwape@matematicas.udea.edu.co

Guest Editor

Prof. Benjamin Oyediran Oyelami
Email: Boyelami2000@yahoo.com

Prof. Mohamed Olarewaju Ibraheem
Email: ibraheem@unilorin.edu.ng

Submit your article now

Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Prof. Anthony Uyi Afuwape at the address: <afuwape@matematicas.udea.edu.co>