In this paper, we introduce a framework for derivative-free robust opti-mization based on the use of an efficient derivative-free optimization routine for mixed-integer nonlinear problems. The proposed framework is employed to find a robust optimal design of a particular integrated circuit (namely a DC–DC converter commonly used in portable electronic devices). The proposed robust optimization ap-proach outperforms the traditional statistical approach as it is shown in the numerical results
There are various methods for performing tolerancing and robust design within a computer-aided desig...
This paper presents an effective methodology for robust optimization of electromagnetic devices. To ...
In this work we propose and investigate a new method of solving quadratic and linear optimization pr...
In this paper, we introduce a framework for derivative-free robust opti-mization based on the use of...
The ever increasing pace of analog IC design demands efficient means of automated design and optimiz...
We propose a new approach for the robust design of a product with single or multiple performances/ou...
In realistic situations, engineering designs should take into consideration random aberrations from ...
In the existing resolution methodology for robust design optimizations, the procedures for solving r...
Uncertainties in the design variables of non-linear engineering optimization problems are often negl...
Optimization problems based on black boxes arise in engineering applications every day. Such black b...
This paper presents a new optimization tool for analog circuit design. Proposed tool is based on the...
A method is described for the optimization of nonlinear dc circuits. A performance index is defined ...
The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical mach...
A novel technique for efficient global robust optimization of problems affected by parametric uncert...
In this paper, a novel approach for robust automatic optimization of analog circuits with bipolar tr...
There are various methods for performing tolerancing and robust design within a computer-aided desig...
This paper presents an effective methodology for robust optimization of electromagnetic devices. To ...
In this work we propose and investigate a new method of solving quadratic and linear optimization pr...
In this paper, we introduce a framework for derivative-free robust opti-mization based on the use of...
The ever increasing pace of analog IC design demands efficient means of automated design and optimiz...
We propose a new approach for the robust design of a product with single or multiple performances/ou...
In realistic situations, engineering designs should take into consideration random aberrations from ...
In the existing resolution methodology for robust design optimizations, the procedures for solving r...
Uncertainties in the design variables of non-linear engineering optimization problems are often negl...
Optimization problems based on black boxes arise in engineering applications every day. Such black b...
This paper presents a new optimization tool for analog circuit design. Proposed tool is based on the...
A method is described for the optimization of nonlinear dc circuits. A performance index is defined ...
The bio-inspired algorithms are novel, modern, and efficient tools for the design of electrical mach...
A novel technique for efficient global robust optimization of problems affected by parametric uncert...
In this paper, a novel approach for robust automatic optimization of analog circuits with bipolar tr...
There are various methods for performing tolerancing and robust design within a computer-aided desig...
This paper presents an effective methodology for robust optimization of electromagnetic devices. To ...
In this work we propose and investigate a new method of solving quadratic and linear optimization pr...