Results And Conclusions:Future Scope

Initially we have tried with the number of population is twice of the number of the machines which result the earlier convergence of the problem. Due to this there may be possible of stuck at local optima. So we fixed up the number of population to 30. It gives better result than the former.
For the further improvement, we gave attention to the selection parameter.

Applications of Genetic Algorithms

• Automated design, including research on composite material design and multi-objective design of automotive components for crashworthiness, weight savings, and other characteristics.
  
• Automated design of mechatronic systems using bond graphs and genetic programming (NSF).
  
• Calculation of Bound States and Local Density Approximations.
  

an example - Darwin's Theory

As an example Darwin noted that the ptarmigan turns white in winter. This colour change, he inferred, helped protect it from predators, which would have a hard time spotting the bird in snow. Ptarmigans that didn't change colour in winter would be spotted easily and eaten. In this way, Darwin implied, ptarmigans that turned white in winter would be more likely to survive, reproduce, and pass this adaptation to future generations.^†

References

†“Natural Selection”, http://bioweb.cs.earlham.edu/9-12/evolution/HTML/natural.html

Related Posts:

• ABSTRACT
• INTRODUCTION
• JOB SHOP SCHEDULING
• Search Methods and Optimization Techniques
• Some other Optimisation methods
• Genetic Algorithm

Darwin's Theory of Natural Selection

Table of Contents

© 2006 Kumaravel & Project Team

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