8. Write the main body (about 100 words) to an essay on a subject from your own discipline.

7. Conclusion

! There is usually a link between the starting point, i.e. the title, and the conclusion. If the title is asking a question, the conclusion should contain the answer. The reader may look at the conclusion first to get a quick idea of the main arguments or points. in most cases it is helpful for the reader to have a section that (quite briefly) looks back at what has been said and makes some comments about the main part.

9. The following may be found in conclusions. Decide on the most suitable order for them (1-5).

Implications of the findings

Proposals for further research

Limitations of the research

Reference to how these findings compare with other studies

Summary of main findings

! Conclusion paragraphs are about 5% of your essay word count (e.g. about 50 or so words per 1000 word essay). In clearly-written sentences, you restate the thesis from your introduction (but do not repeat the introduction too closely), make a brief summary of your evidence and finish with some sort of judgment about the topic. It's a good idea to start your conclusion with transitional words (e.g. 'In summary', 'To conclude', 'In conclusion', 'Finally',) to help you to get the feel of wrapping up what you have said. The conclusion is not the place to present new facts (should be in the body of your essay), so conclusions don't usually have references unless you come up with a 'punchy' quote from someone special as a final word.

10. Read the following extracts from the conclusion and match them with the list of functions in the box. Decide on the most suitable order for them.

1. As always, this investigation has a number of limitations to be considered in evaluating its findings.

2. This might defy the very principle of GAs that it is ignorant of the problem domain when used to solve problem.

3. But we would realize that this practice could make GAs even more powerful.

4. These applications of the algorithms, be they commercial, educational and scientific, are increasingly dependent on these algorithms, the Genetic Algorithms (GAs).

5. These results of the Genetic Algorithms study reported here are consistent with other similar studies conducted in other countries (Dan Sperber & Deirdre Wilson, 1988).

6. The discussion is far from conclusive and, whether artificial life will become real life, will remain to be seen.

7. We believe that, through working out these interesting examples, one could grasp the idea of GAs with greater ease.

8. Its usefulness and gracefulness of solving problems has made it the a more favourite choice among the traditional methods, namely gradient search, random search and others.

9. GAs are very helpful when the developer does not have precise domain expertise, because GAs possess the ability to explore and learn from their domain.

10. In this report, we have placed more emphasis in explaining the use of GAs in many areas of engineering and commerce.

11. We have also discussed the uncertainties about whether computer generated life could exist as real life form.

12. In future, we would witness some developments of variants of GAs to tailor for some very specific tasks.

13. To be more precise, this might defy the very principle of GAs that it is ignorant of the problem domain when used to solve problem

summary of main body
Reference to how these findings compare with other studies
limitations of research
suggestions for further research
practical implications and proposals