Chapter 6: Conclusions and Future Directions

Summary

• GAs can solve difficult problems because they capitalize on many positive aspects of natural systems. GAs are adaptive, massively parallel, creative, can deal with complexity and can learn.
• GAs can model natural systems.
• Mathematical models of GA are possible, albeit difficult.

Future Directions

• Incorporate ecological interactions.
• Incorporate new ideas from genetics.
• Incorporate development and learning. Thus, distinguish the genotype from the phenotype.
• Explore variable length, variable encoding representations.
• Explore parameter adaptation.
• Explore deeper mathematical understanding of GAs.