Abstract
In this paper, we describe a new evolutionary computation approach, called multiphase genetic programming (MPGP). The special features of this approach lie in its variable-granularity representations of chromosomes and their corresponding genetic operations. In the paper, we provide an overview of the MPGP approach as well as details on how the sumo maneuver evolution experiments are carried out and how the MPGP-based case study differs from others.
| Original language | English |
|---|---|
| Pages (from-to) | 665-684 |
| Number of pages | 20 |
| Journal | International Journal of Pattern Recognition and Artificial Intelligence |
| Volume | 18 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Jun 2004 |
Scopus Subject Areas
- Software
- Computer Vision and Pattern Recognition
- Artificial Intelligence
User-Defined Keywords
- Adaptive behavior
- Multiphase genetic programming (MPGP)
- Sumo maneuver evolution