Titlebook: Nonlinear Interval Optimization for Uncertain Problems; Chao Jiang,Xu Han,Huichao Xie Book 2021 Springer Nature Singapore Pte Ltd. 2021 Un

conscience

混杂人

Interval Optimization Based on Hybrid Optimization Algorithm,By combining the genetic algorithm (GA) with the artificial neural network (ANN), this chapter establish two hybrid optimization algorithms to solve the nested optimization problem after transformation, based on which two efficient nonlinear interval optimization methods are developed.

Intruder

Interval Multidisciplinary Design Optimization,This chapter introduces the interval model into the multidisciplinary design optimization (MDO) problem, and whereby constructs an interval MDO model for complex MDO problems with uncertainties. A solution strategy is also given to solve the interval MDO model.

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Impugn

Interval Optimization Considering the Correlation of Parameters,This chapter first introduces a new type of interval model, i.e., the multidimensional parallelepiped interval model, based on which an interval optimization model for multisource uncertain problems is then established. A solution algorithm is also given for this interval optimization model.

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