About this Journal Submit a Manuscript Table of Contents

Optimization Techniques for Mathematical Models and Their Applications

Call for Papers

Many real-world problems are often hard to optimize since they are nonlinear and highly constrained and come with a wide range of uncertainties in system model. Optimization techniques are used to solve complex problems arising in natural science such as physics, chemistry, biology, and engineering. More precisely, optimization algorithms consist of an objective function and a set of constraints in the form of a system of equations or inequalities. Moreover, optimization models are used extensively in quantitative social sciences such as economics, finance (portfolio management), and management sciences. However, with the increasing competitiveness in the real-world scenario, the mathematical models of such problems are getting more and more complex. In order to deal with such cases, sophisticated optimization techniques are needed.

The objective of this special issue is to compile recent developments in methodologies, techniques, and applications in optimization problems for real-world problems. Proposed submissions should be original and should not have been submitted elsewhere for possible publication and describe novel ideas on the optimization algorithms which directly or indirectly related to mathematical models and its applications.

Potential topics include, but are not limited to:

  • Numerical optimization problems
  • Optimization techniques for qualitative behaviors of dynamical systems
  • Linear and nonlinear system modeling
  • Stochastic dynamical systems
  • Fuzzy logic and its applications
  • Evolutionary algorithm optimization problems
Manuscript DueFriday, 24 October 2014
First Round of ReviewsFriday, 16 January 2015
Publication DateFriday, 13 March 2015

Lead Guest Editor

Guest Editors