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Stochastic Optimization: Theory and Applications

Call for Papers

As an important branch of applied mathematics, optimization theory, especially stochastic optimization, becomes an important tool for solving multiobjective decision-making problems in random process recently. Many kinds of industrial, biological, engineering, and economic problems can be viewed as stochastic systems, for example, area of communication, gene, signal processing, geography, civil engineering, aerospace, banking, and so forth. Stochastic optimization is suitable to solve the decision-making problems in these stochastic systems.

We invite investigators to contribute original research articles as well as review articles that will stimulate the continuing efforts to understand this field. We are particularly interested in articles describing new stochastic optimization algorithms and new applications in related fields. Potential topics include, but are not limited to:

  • Foundations of stochastic optimization
  • Approximate dynamic programming
  • Stochastic differential equations and parameter estimation
  • Piecewise linear approximation
  • Stochastic optimization in applications
  • Stochastic geometry and stochastic approximations
  • Robust optimization

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/jam/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/author/submit/journals/jam/sota/ according to the following timetable:

Manuscript DueFriday, 31 May 2013
First Round of ReviewsFriday, 23 August 2013
Publication DateFriday, 18 October 2013

Lead Guest Editor

  • Bin Wang, Engineering Optimization and Smart Antenna Institute, School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Hebei, China

Guest Editors

  • Lotfollah Najjar, Information System Quantitative Analysis, College of Information Science & Technology (IS&T), University of Nebraska at Omaha, Omaha, NE, USA
  • Neal N. Xiong, School of Computer Science, Colorado Technical University, 4435 North Chestnut Street, Colorado Springs, CO, USA
  • Rung Ching Chen, IET Fellow, Professor of Information Management and Dean of College of Informatics Chaoyang University of Technology, 168, Jifong East Road, Wufong Dist., Taichung City 41349, Taiwan