Genetic Algorithm for Catalytic Conversion

1. Introduction

Existing empirical relations for catalytic conversion were derived abroad and may not apply to the conditions found in power distribution systems locally. The study adopts genetic algorithm as its principal tool for exploring the behaviour of power distribution systems. Sensitivity analysis showed that catalytic conversion accounted for more than 12% of the total variation. The approach offers a promising route towards more sustainable use of scarce resources.

This full text was produced by the journal’s retrospective digitisation programme. Section headings follow the printed original.

2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

The reference list attached to this record is structured, and the article is deposited with a DOI so it can be cited exactly as it was in print.