The coverage of the Journal of Multidisciplinary Modeling and Optimization are every kind of Multidisciplinary theorical and applied scholarly studies.Without being limited topics in terms of theory, algorithms, software, computational practice, applications are:

• Global optimization

• Linear and nonlinear programing

• Convex and non convex optimization

• Smooth and non smooth optimization, smoothing methods

• Modern and classical optimization tecniques and their applications

• Fuzzy logic and its applications

• Stochastic optimization

• Combinatorial optimization

• Theoretical and experimental scholarly studies adding new values to the science in physics, chemistry, biology and engineering

and new computational techniques for solving scientific or engineering problems, or the links between these subjects. Papers that describe only variants of current methods are not of interest if they do not add scholarly new values. 

The audience: 

• Optimizationist 

• Applied mathematicians 

• Computational scientists 

• Engineers 

• Doctors

• Biologists

• Physicists 

• Chemists 

• Numerical analysists 

Study Interest:

Global Optimization

Mathematical Modelling

Surfaces Modelling

Computer-Aided Geometric Design

Interdisciplinary Application

Modern and Classical Optimization Techniques and Their Applications to Real-Life life problems
Fuzzy LogicTheoretical and applied  physics, chemistry, biology and engineering