Stochastic Optimization: Theory and Applications

Authors

Bin Wang, Northeastern University at Qinhuangdao
Lotfollah Najjar, University of Nebraska at OmahaFollow
Neal N. Xiong, Colorado Technical University - Colorado Springs
Rung Ching Chen, Chaoyang University of Technology

Author ORCID Identifier

Lotfollah Najjar

Document Type

Article

Publication Date

2013

Publication Title

Journal of Applied Mathematics

Volume

2013

Issue

Article ID 949131

Abstract

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.

Comments

Copyright © 2013 BinWang et al.

http://dx.doi.org/10.1155/2013/949131

Recommended Citation

Wang, Bin; Najjar, Lotfollah; Xiong, Neal N.; and Chen, Rung Ching, "Stochastic Optimization: Theory and Applications" (2013). Information Systems and Quantitative Analysis Faculty Publications. 92.
https://digitalcommons.unomaha.edu/isqafacpub/92

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 License.