A new cellular automaton: Five Elements Balance Chart and its application to forest industry ecosystem

Cheng Hsiung Chiang, Liang-Hsuan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new cellular automaton, i.e. Five Elements Balance Chart, based on the theory of Five Elements, which is one of the most important parts of traditional Chinese philosophy. There are five kinds of basic elements in Five Elements Balance Chart, i.e. Wood, Fire, Earth, Metal, and Water. Ancient Chinese thought used the relations of creating and controlling within the Five Elements to analogize the relationship between all situations and beings. In the proposed method, each element can be regarded as a cell. The transition rules are constructed according to the principle of creating and controlling. Thus, these rules are simple and intuitive. A simulation model of the forest industry ecosystem is presented to demonstrate the proposed approach. The Five Elements Balance Chart can well evaluate the balance status of the ecosystem. It also can help us to predict the quantitative variations of each member in the ecosystem.

Original languageEnglish
Title of host publicationProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Pages1901-1908
Number of pages8
Publication statusPublished - 2004 Sep 13
EventProceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR, United States
Duration: 2004 Jun 192004 Jun 23

Publication series

NameProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Volume2

Other

OtherProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
CountryUnited States
CityPortland, OR
Period04-06-1904-06-23

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Chiang, C. H., & Chen, L-H. (2004). A new cellular automaton: Five Elements Balance Chart and its application to forest industry ecosystem. In Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 (pp. 1901-1908). (Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004; Vol. 2).