Wolfpack-inspired evolutionary algorithm and a reaction-diffusion-based controller are used for pattern formation

作者: Payam Zahadat , Thomas Schmickl

DOI: 10.1145/2576768.2598262

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摘要: The implicit social structure of population groups have been previously investigated in the literature representing enhancements performance optimization algorithms. Here we introduce an evolutionary algorithm inspired by animal hunting (i.e. wolves). implicitly maintains diversity and performs higher than two state art algorithms case studies this article. are to evolve a hormone-inspired system called AHHS (Artificial Homeostatic Hormone Systems) develop spatial patterns. complex patterns developed absence any explicit information. results achieved presented compared with previous work Artificial Neural Network (ANNs) indicating AHHS.

参考文章(26)
Marc. Mangel, Colin Whitcomb Clark, Dynamic State Variable Models in Ecology ,(2000)
Julian F. Miller, Evolving Developmental Programs for Adaptation, Morphogenesis, and Self-Repair european conference on artificial life. pp. 256- 265 ,(2003) , 10.1007/978-3-540-39432-7_28
Marc Mangel, Colin Whitcomb Clark, Dynamic modeling in behavioral ecology ,(1988)
Payam Zahadat, Thomas Schmickl, Generation of diversity in a reaction-diffusion-based controller Artificial Life. ,vol. 20, pp. 319- 342 ,(2014) , 10.1162/ARTL_A_00134
Thomas Schmickl, Heiko Hamann, Karl Crailsheim, Modelling a hormone-inspired controller for individual- and multi-modular robotic systems Mathematical and Computer Modelling of Dynamical Systems. ,vol. 17, pp. 221- 242 ,(2011) , 10.1080/13873954.2011.557862
Alan Mathison Turing, The Chemical Basis of Morphogenesis Philosophical Transactions of the Royal Society B. ,vol. 237, pp. 37- 72 ,(1952) , 10.1098/RSTB.1952.0012