Author ORCID Identifier
Journal of Applied Mathematics
Article ID 949131
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.
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.
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