An interval robust design optimization method and its application in heat transfer problems

An interval robust optimization method is suggested to improve the robustness and performance of the process or product in design. A general uncertain robust optimization problem is considered in which the objective function and constraints are both nonlinear and uncertain, and the uncertainties of design variables and uncertain parameters are all included and depicted by the interval model. A nonlinear interval number programming method is introduced to solve the robust optimization model, in which the uncertain objective function is described by a pair of deterministic functions, and the uncertain constraints are converted to deterministic constraints on the basis of the reliability-based possibility degree of interval. The method is then applied to several heat transfer problems for performance optimization of the heat transfer processes while guaranteeing the robustness of the optimal design.

Automated summary

An interval robust optimization method was proposed to improve the robustness and performance of the process or product in design. The method utilizes a nonlinear interval number programming approach to solve uncertain optimization problems, and has been successfully applied to heat transfer problems for performance optimization while ensuring robustness of the optimal design.