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Pattern Formation and Optimization in Army Ant Raids

Author

Listed:
  • Ricard V. Solé
  • Eric Bonabeau
  • Jordi Delgado
  • Pau Fernández
  • Jesus Marín

Abstract

Army ant colonies display complex foraging raid patterns involving thousands of individuals communicating through chemical trails. In this paper we explore, by means of a simple search algorithm, the properties of these trails in order to test the hypothesis that their structure reflects an optimized mechanism for exporing and exploiting food resources. The raid patterns of three army ant species, Ection hamatum, Ection burchelli, and Ection rapex, are analysed. The respective diets of these species involve large but rare, small but common, and a combination of large but rare and small but common, food sources. Using a model proposed by Deneubourg et al. (1989), we simulate the formation of raid patterns in reponse to different food distributions. Our results indicate that the empirically observed raid patterns maximise return on investment, that is, the amount of food brought back to the nest per unit of energy expended, for each of the diets. Moreover, the values of the parameters that characterise the three optimal pattern-generating mechanisms are strikingly similar. Therefore the same behavioural rules at theindividual level can produce optimal colony-level patters. The evolutionary implications of these finding are discussed.

Suggested Citation

  • Ricard V. Solé & Eric Bonabeau & Jordi Delgado & Pau Fernández & Jesus Marín, 1999. "Pattern Formation and Optimization in Army Ant Raids," Working Papers 99-10-074, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:99-10-074
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    References listed on IDEAS

    as
    1. Eric Bonabeau & Guy Theraulza & Jean-Louis Deneubourg & Serge Aron & Scott Camazine, 1997. "Self-Organization in Social Insects," Working Papers 97-04-032, Santa Fe Institute.
    2. Jesus Marin & Ricard V. Sole, 1998. "Macroevolutionary Algorithms: A New Optimization Method on Fitness Landscapes," Working Papers 98-11-108, Santa Fe Institute.
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    Keywords

    Army ants; foraging; optimization;
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