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Research on food-chain algorithm and its parameters

  • Research Article
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Frontiers of Electrical and Electronic Engineering in China

Abstract

Based on the characteristics of colony emergence of artificial organisms, their dynamic interaction with the environment, and the food-chain crucial to the life system, the rules of local activities of artificial organisms at different levels are defined. The article proposes an artificial life-based algorithm, which is referred to as the food-chain algorithm. This algorithm optimizes computation by simulating the evolution of natural ecosystems and the information processing mechanism of natural organisms. The definition, idea and flow of the algorithm are introduced, and relevant rules on metabolic energy and change in the surroundings where artificial-life individuals live are depicted. Furthermore, key parameters of the algorithm are systematically analyzed. Test results show that the algorithm has quasi-life traits that include being autonomous, evolutionary, and self-adaptive. These traits are highly fit for optimization problems of life-like systems such as the location-allocation problem of a distribution network system.

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Authors and Affiliations

  1. School of Business Administration, Northeastern University, Shenyang, 110004, China

    Haifei Yu

  2. Information Science and Engineering School, Northeastern University, Shenyang, 110004, China

    Dingwei Wang

Authors
  1. Haifei Yu
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  2. Dingwei Wang
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Correspondence to Haifei Yu.

Additional information

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Translated from Journal of Northeastern University (Natural Science), 2007, 28(7): 993–997 [译自: 东北大学学报(自然科学版)]

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Yu, H., Wang, D. Research on food-chain algorithm and its parameters. Front. Electr. Electron. Eng. China 3, 394–398 (2008). https://doi.org/10.1007/s11460-008-0078-3

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  • DOI: https://doi.org/10.1007/s11460-008-0078-3

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