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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 170
Panobbgo: Parallel Noisy Black-Box Global Optimization H. Schilly
Institute of Mathematics, University of Vienna, Austria H. Schilly, "Panobbgo: Parallel Noisy Black-Box Global Optimization", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 170, 2014. doi:10.4203/ccp.106.170
Keywords: black-box optimization, derivative-free optimization, parallelization, distributed, heuristic, experimentation..
Summary
Most existing black-box optimization tools evaluate the objective function sequentially.
The experimental optimization framework Panobbgo aims to support parallel
evaluation of the objective function inherently in its core. Additionally, a modularized
component architecture with a centralized, event-based orchestration mechanism, encourages
incremental improvements and experiments with new algorithmic ideas.
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