2009Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Ellipsometric data inversion of absorbing films by simulated annealing - simplex hybrid algorithm

Zuohuah Huang, Lijuan Wang, Xiangming He

Open publisher page 2 citations

Abstract

A simulated annealing-simplex downhill hybrid algorithm is presented to solve the problems of ellipsometric data inversion. Basing on Monte Carlo technique of simulated annealing algorithm, the hybrid algorithm uses simplex downhill algorithm to get the local optimization and avoids the local optimization to get the global optimization by Metropolis accepting principle, then the global optimum ellipsometric data are obtained quickly. A typical model with single-layer absorbing film was dealt with by the hybrid algorithm and the simulated annealing algorithm respectively in numerical simulation experiments. The results show that the hybrid algorithm is feasible, credible and ascendant in ellipsometric data inversion. Furthermore, with the same testing conditions and inversion precision, the hybrid algorithm can save time with two quantity degrees, so it will be found more applications in practice.

About this research paper

What this paper is about

A simulated annealing-simplex downhill hybrid algorithm is presented to solve the problems of ellipsometric data inversion. Basing on Monte Carlo technique of simulated annealing algorithm, the hybrid algorithm uses simplex downhill algorithm to get the local optimization and avoids the local optimization to get the global optimization by Metropolis accepting principle, then the global optimum ellipsometric data are obtained quickly. A typical model with single-layer absorbing film was dealt with by the hybrid algorithm and the simulated annealing algorithm respectively in numerical simulation experiments. The results show that the hybrid algorithm is feasible, credible and ascendant in ellipsometric data inversion. Furthermore, with the same testing conditions and inversion precision, the hybrid algorithm can save time with two quantity degrees, so it will be found more applications in practice.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A simulated annealing-simplex downhill hybrid algorithm is presented to solve the problems of ellipsometric data inversion. Basing on Monte Carlo technique of simulated annealing algorithm, the hybrid algorithm uses simplex downhill algorithm to get the local optimization and avoids the local optimization to get the global optimization by Metropolis accepting principle, then the global optimum ellipsometric data are obtained quickly. A typical model with single-layer absorbing film was dealt with by the hybrid algorithm and the simulated annealing algorithm respectively in numerical simulation experiments. The results show that the hybrid algorithm is feasible, credible and ascendant in ellipsometric data inversion. Furthermore, with the same testing conditions and inversion precision, the hybrid algorithm can save time with two quantity degrees, so it will be found more applications in practice.

Key concepts: Simulated annealing, Inversion (geology), Simplex algorithm, Algorithm, Computer science, Adaptive simulated annealing, Hybrid algorithm (constraint satisfaction), Simplex

Related papers

Back to paper searchBrowse research topicsOriginal source
Ellipsometric data inversion of absorbing films by simulated annealing - simplex hybrid algorithm — Research Paper | ScholarLens