Abstract
The paper is concerned with parallel global optimization techniques that can be applied to solve complex optimization problems, and are widely used in applied science and in engineering. We describe an integrated software platform EPOCS (Environment for Parallel Optimization of Complex Systems) that provides the framework and tools which allow to solve complex optimization problems on parallel and multi-core computers. The composition, design and usage of EPOCS is discussed. Next, we evaluate the performance of methods implemented in the EPOCS library based on numerical results for a commonly used set of functions from the literature. The case study – calculating the optimal prices of products that are sold in the market is presented to illustrate the application of our tool to a given real-life problem.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Ali, M.M., Torn, A.: Population set-based global optimization algorithms: Some modifications and numerical studies. Computers and Operations Research 31, 1703–1725 (2004)
Horst, R., Pardalos, P.: Handbook of Global Optimization. Kluwer (1995)
Michalewicz, Z., Fogel, D.B.: How to Solve it: Modern Heuristcs. Springer, Heidelberg (2000)
Neumaier, A., Shcherbina, O., Huyer, W., Vinko, T.: A comparison of complete global optimization solvers. Mathematical Programming 103, 335–356 (2005)
Onbasoglu, E., Ozdamar, L.: Parallel simulated annealing algorithms in global optimization. Journal of Global Optimization 19, 27–50 (2001)
Press, W.H., Tukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical Recipes in C. The Art of Scientific Computing. Cambridge University Press (1992)
Schaefer, R.: Foundations of global genetic optimization. Springer, Heidelberg (2007)
Simon, H.: Price management. North-Holland (1989)
Spall, J.: Introduction to Stochastic Search and Optimization. John Wiley & Sons (2003)
Weise, T.: Global Optimization Algorithms: Theory and Application. e-book (2009), http://www.it-weise.de/projects/book.pdf
Yang, R., Douglas, I.: Simple genetic algorithm with local tuning: Efficient global optimizing technique. Journal of Optimization Theory and Applications 98, 449–465 (1998)
Zhigljavsky, A.A., Zilinskas, A.: Stochastic Global Optimization. Springer Optimization and its Applications, vol. 9. Springer, New York (2008)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Niewiadomska-Szynkiewicz, E., Marks, M. (2012). Software Environment for Parallel Optimization of Complex Systems. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28151-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-28151-8_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28150-1
Online ISBN: 978-3-642-28151-8
eBook Packages: Computer ScienceComputer Science (R0)