Abstract
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.
Keywords
Cite this article
@article{cai-1625,
author = {Peter Korošec and Jurij Šilc},
title = {Using Stigmergy to Solve Numerical Optimization Problems},
journal = {Computing and Informatics},
volume = {27},
number = {3},
pages = {377--402},
year = {2008},
issn = {1335-9150},
url = {https://cai.type.sk/content/2008/3/using-stigmergy-to-solve-numerical-optimization-problems/}
}
TY - JOUR AU - Peter Korošec AU - Jurij Šilc TI - Using Stigmergy to Solve Numerical Optimization Problems JO - Computing and Informatics VL - 27 IS - 3 SP - 377 EP - 402 PY - 2008 SN - 1335-9150 UR - https://cai.type.sk/content/2008/3/using-stigmergy-to-solve-numerical-optimization-problems/ KW - Ant-based algorithm KW - multilevel approach KW - numerical optimization KW - stigmergy ER -
Korošec, P., & Šilc, J. (2008). Using Stigmergy to Solve Numerical Optimization Problems. Computing and Informatics, 27(3), 377–402. https://cai.type.sk/content/2008/3/using-stigmergy-to-solve-numerical-optimization-problems/