Work

Stochastic Optimization: Theory and Applications

Year: 2013

Type: editorial

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.

Source: Journal of Applied Mathematics

DOI: 10.1155/2013/949131

Authors: Bin Wang, Lotfollah Najjar, Neal N. Xiong, Rung Ching Chen

Institutions: Northeastern University, University of Nebraska at Omaha, Colorado Technical University, Chaoyang University of Technology

Language: English

Topic: Risk and Portfolio Optimization

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,130

Funders: Natural Science Foundation of Hebei Province, Fundamental Research Funds for the Central Universities