TY - JOUR
T1 - Multiphase genetic programming
T2 - A case study in sumo maneuver evolution
AU - LIU, Jiming
AU - Zhang, Shiwu
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/6
Y1 - 2004/6
N2 - 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.
AB - 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.
KW - Adaptive behavior
KW - Multiphase genetic programming (MPGP)
KW - Sumo maneuver evolution
UR - http://www.scopus.com/inward/record.url?scp=3142709376&partnerID=8YFLogxK
U2 - 10.1142/S0218001404003319
DO - 10.1142/S0218001404003319
M3 - Journal article
AN - SCOPUS:3142709376
SN - 0218-0014
VL - 18
SP - 665
EP - 684
JO - International Journal of Pattern Recognition and Artificial Intelligence
JF - International Journal of Pattern Recognition and Artificial Intelligence
IS - 4
ER -