Multi-objective topology design optimization combined with robust optimization

Evolutionary Multi-Objective Robust Optimization

Multi-Objective Optimization based Robust Sensor Network Design

In this article, we propose an explicit integer optimization formulation for the design of reliable and robust (to uncertainty in reliability data) sensor networks. The robustness is achieved by incorporating simultaneous occurrence of different kinds of uncertainty in the failure rate data in the optimization formulation. We show the use of constraint programming to solve these combinatorial p...

Multi-objective Optimization Approach for Robust Design under Uncertainty

This paper presents a new strategy for synthesizing an appropriate process with multi-objective under uncertainty. The uncertainty is classified depending on its sources and mathematical model structure as deterministic or stochastic. The proposed methodology is a two-layer algorithm. In the outer layer, the synthesis problem is represented by a multi-objective optimization problem considering ...

A Competitive Game Approach for Multi Objective Robust Design Optimization

This paper describes an application of Robust Design methodology in the transonic airfoil design. It has been observed that, minimizing the drag at a single design point (Mach number and angle of attack fixed), it is possible to find solutions characterized by poor offdesign performances (over-optimizing problem). For this reasons, the stability of the performances inside the range of operative...

Design Space Reduction for Multi-objective Optimization and Robust Design Optimization Problems

Modern engineering design often involves computation-intensive simulation processes and multiple objectives. Engineers prefer an efficient optimization method that can provide them insights into the problem, yield multiple good or optimal design solutions, and assist decision-making. This work proposed a rough-set based method that can systematically identify regions (or subspaces) from the ori...