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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by:
Paper 169

A Numerical Comparison of Some Deterministic and Nature-Inspired Algorithms for Black-Box Global Optimization

D.E. Kvasov1,2, M.S. Mukhametzhanov2 and Y.D. Sergeyev1,2

1Department of Computer Engineering, Modelling, Electronics and Systems Science, University of Calabria, Rende, Italy
2Software Department, N.I. Lobachevsky State University, Nizhni Novgorod, Russia

Full Bibliographic Reference for this paper
D.E. Kvasov, M.S. Mukhametzhanov, Y.D. Sergeyev, "A Numerical Comparison of Some Deterministic and Nature-Inspired Algorithms for Black-Box Global Optimization", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 169, 2014. doi:10.4203/ccp.106.169
Keywords: global optimization, black-box functions, deterministic approaches, Lipschitz condition, nature-inspired metaheuristics, applied problems..

Summary
Many important design problems involve the search for the global extremum in the space of the system parameters. The functions to be optimized in many engineering applications are multi-extremal, behave as a black-box with unknown analytical representations, and are hard to evaluate. Therefore, it is necessary to use efficient methods of global finite-dimensional optimization for solving these challenging problems. In this paper, some of these methods developed by the authors in the framework of Lipschitz global optimization are briefly reviewed and compared with several widely-used nature-inspired algorithms.

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