Using Stigmergy to Solve Numerical Optimization Problems


  • Peter Korošec
  • Jurij Šilc


Ant-based algorithm, multilevel approach, numerical optimization, stigmergy


The current methodology for designing highly efficient technological systems needs to choose the best combination of the parameters that affect the performance. In this paper we propose a promising optimization algorithm, referred to as the Multilevel Ant Stigmergy Algorithm (MASA), which exploits stigmergy in order to optimize multi-parameter functions. We evaluate the performance of the MASA and Differential Evolution -- one of the leading stochastic method for numerical optimization -- in terms of their applicability as numerical optimization techniques. The comparison is performed using several widely used benchmark functions with added noise.


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How to Cite

Korošec, P., & Šilc, J. (2012). Using Stigmergy to Solve Numerical Optimization Problems. COMPUTING AND INFORMATICS, 27(3), 377–402. Retrieved from