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D.E. Kvasov^1,2, M.S. Mukhametzhanov² and Y.D. Sergeyev^1,2

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

doi:10.4203/ccp.106.169

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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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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	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. Kvasov^1,2, M.S. Mukhametzhanov² and Y.D. Sergeyev^1,2 ¹Department of Computer Engineering, Modelling, Electronics and Systems Science, University of Calabria, Rende, Italy ²Software Department, N.I. Lobachevsky State University, Nizhni Novgorod, Russia doi:10.4203/ccp.106.169 purchase the full-text of this paper 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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