Multiphase genetic programming: A case study in sumo maneuver evolution

Jiming LIU; Shiwu Zhang

doi:10.1142/S0218001404003319

Multiphase genetic programming: A case study in sumo maneuver evolution

Jiming LIU^*
, Shiwu Zhang

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to journal › Journal article › peer-review

2 Citations (Scopus)

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	https://doi.org/10.1142/S0218001404003319
Publication status	Published - Jun 2004

User-Defined Keywords

Adaptive behavior
Multiphase genetic programming (MPGP)
Sumo maneuver evolution

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10.1142/S0218001404003319

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title = "Multiphase genetic programming: A case study in sumo maneuver evolution",

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.",

keywords = "Adaptive behavior, Multiphase genetic programming (MPGP), Sumo maneuver evolution",

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AU - Zhang, Shiwu

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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 - https://www.scopus.com/pages/publications/3142709376

U2 - 10.1142/S0218001404003319

DO - 10.1142/S0218001404003319

M3 - Journal article

AN - SCOPUS:3142709376

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JO - International Journal of Pattern Recognition and Artificial Intelligence

JF - International Journal of Pattern Recognition and Artificial Intelligence

IS - 4

ER -

Multiphase genetic programming: A case study in sumo maneuver evolution

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