Abstract

For the inner-temperature-field reconstruction of a fireball, a detecting method was proposed, using multi-channel visible spectral remote sensing theory. In our proposed method, the reconstructive algorithm based on multi-channel-detection was considered as a multi-objective optimization problem (MOOP), and a fast non-dominated sorting genetic algorithm based on reference-point strategy (NSGA-III) was employed as the solution of this problem. Besides, a so-called ambient pressure operator, based on the unique detecting model, was proposed and employed during the iteration process, for dynamic genetic parameter adjustment. To verify some performance of our proposed method, several numerical reconstructive simulations were carried out, from simple GA to NSGA-III, using several artificial 2-D virtual data, with different kinds of crossover and mutation functions. The simulation results show that, limited to our problems, the NSGA-III can effectively reconstruct different 2-D data, by a fixed crossover rate and a dynamic mutation rate under the proposed ambient pressure operator and an adaptive mutation rate function. The algorithm, limited to the field-reconstruction, also performs well on stability, but still has some deficiencies to be optimized.

Highlights

  • In order to obtain the inner-temperature distribution of a fireball, several non-contact and contact detection method have been developed

  • COMPARISON BETWEEN genetic algorithm (GA), NSGA AND NSGA-III The same virtual fireball and the same position parameters of all detecting channels, but different reconstructive theory and different number of the detecting channel were employed, in order to show that NSGA-III works completely better than simple GA and basic NSGA in this special multi-objective optimization problem (MOOP)

  • From the visual qualitative analysis shown in figure 15, NSGA-III do have the obviously better reconstructive results than basic NSGA and Simple Genetic Algorithm

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Summary

Introduction

In order to obtain the inner-temperature distribution of a fireball, several non-contact and contact detection method have been developed. Besides the development of the optical detection system, proposing a NSGA-III based reconstructive method, simplifying the projection model and using several artificial 2-D virtual data to prove the effectiveness of our algorithm.

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