This paper presents a robust hybrid improved dolphin echolocation and ant colony optimization algorithm (IDEACO) for optimization of truss structures with discrete sizing variables. The dolphin echolocation (DE) is inspired by the navigation and hunting behavior of dolphins. An improved version of dolphin echolocation (IDE), as the main engine, is proposed and uses the positive attributes of an...

Circuit design under process variation can be formulated mathematically as a robust optimization problem with a yield constraint. Existing methods force designers to either resort to overly simplified circuit performance model, or rely on simplistic variability assumptions. On the other hand, accurate yield estimation must incorporate a sophisticated variability model that recognizes both syste...

This paper deals with robust design in preliminary design. The proposed robust optimization approach is developed for analytical design models coming from the FEM/RSM or from approximation of physical laws. Moreover, it considers variability on design parameters. Towards a global robust and deterministic optimization we propose to implement a robust analysis method to get the links between vari...

In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...

This article introduces a Special Issue (SI) that contains fourteen chosen articles from robust design optimization of electrical machines and devices [...]

This proposal deals with the optimal design of bi-modal production systems under task time variability. It consists in studying an alternative robust approach for handling uncertainty that conducts us to investigate new industrial combinatorial optimization problems representing an important object of study from both practical and algorithmic points of view and whose efficient resolution is a p...

This paper applies an evolutionary algorithm, the particle swarm optimization (PSO), to design the optimum open channel section. Depth, channel side slope and bottom width are considered as the variables for rectangular, triangular and trapezoidal channels, respectively. The objective function is minimizing the construction cost of the channel section. MATLAB software is used for programming an...