Journal of Applied Mathematics

Stochastic Optimization: Theory and Applications


Publishing date
18 Oct 2013
Status
Published
Submission deadline
31 May 2013

1Engineering Optimization and Smart Antenna Institute, School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Hebei, China

2Information System Quantitative Analysis, College of Information Science & Technology (IS&T), University of Nebraska at Omaha, Omaha, NE, USA

3School of Computer Science, Colorado Technical University, 4435 North Chestnut Street, Colorado Springs, CO, USA

4IET 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


Stochastic Optimization: Theory and Applications

Description

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:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 295493
  • - Research Article

Adaptive Waveform Design for Multiple Radar Tasks Based on Constant Modulus Constraint

Wang Bin | Yang Wenfang | Wang Jinkuan
  • Special Issue
  • - Volume 2013
  • - Article ID 725058
  • - Research Article

Optimal Waveform Selection for Robust Target Tracking

Fengming Xin | Jinkuan Wang | ... | Yuhuan Wang
  • Special Issue
  • - Volume 2013
  • - Article ID 682159
  • - Research Article

Estimating Time-Varying Beta of Price Limits and Its Applications in China Stock Market

Rongquan Bai | Zuoquan Zhang | Menggang Li
  • Special Issue
  • - Volume 2013
  • - Article ID 831273
  • - Research Article

Qualitative and Quantitative Integrated Modeling for Stochastic Simulation and Optimization

Xuefeng Yan | Yong Zhou | ... | Xudong Chai
  • Special Issue
  • - Volume 2013
  • - Article ID 383692
  • - Research Article

Univex Interval-Valued Mapping with Differentiability and Its Application in Nonlinear Programming

Lifeng Li | Sanyang Liu | Jianke Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 735916
  • - Research Article

Smoothing Techniques and Augmented Lagrangian Method for Recourse Problem of Two-Stage Stochastic Linear Programming

Saeed Ketabchi | Malihe Behboodi-Kahoo
  • Special Issue
  • - Volume 2013
  • - Article ID 368259
  • - Research Article

New Results on Robust Stability and Stabilization of Linear Discrete-Time Stochastic Systems with Convex Polytopic Uncertainties

P. Niamsup | G. Rajchakit
Journal of Applied Mathematics
 Journal metrics
Acceptance rate15%
Submission to final decision42 days
Acceptance to publication64 days
CiteScore1.100
Impact Factor-
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