Name
Abstract | ||
|---|---|---|
In order to drive Genetic Programming (GP) search towards an optimal situation, balancing selection pressure between the parent and offspring selection phases is an important aspect and very challenging. Our previous work showed that stochastic elements cannot be removed from both parent and offspring selections and suggested that maximising diversity in parents and minimising randomness in offspring could provide significantly good performance. This paper conducts additional carefully designed experiments to further investigate how diverse the parent should be if the offspring selection pressure is intensive. This paper shows that any attempt on adding more selection pressure to the parent selection can result in lower GP performance, and the higher the parent selection pressure, the worse the GP performance. The results confirm and strengthen the finding in our previous work. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10439-8_46 | Australasian Conference on Artificial Intelligence |
Keywords | Field | DocType |
offspring selection,genetic programming,lower gp performance,parent selection,previous work,selection pressure,balancing parent,offspring selection phase,parent selection pressure,good performance,offspring selection pressure,gp performance,balancing selection | Mathematical optimization,Computer science,Offspring,Genetic programming,Tournament selection,Balancing selection,Randomness | Conference |
Volume | ISSN | Citations |
5866 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 18 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huayang Xie | 1 | 85 | 9.96 |
| Mengjie Zhang | 2 | 3777 | 300.33 |