The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Dot Net Platform for Distributed Evolutionary Algorithms with Application in Hydroinformatics
|
|
Author(s): Boban Stojanović (Faculty of Science, University of Kragujevac, Serbia), Nikola Milivojević (“Jaroslav Černi” Institute for the Development of Water Resources, Serbia), Miloš Ivanović (Faculty of Science, University of Kragujevac, Serbia)and Dejan Divac (“Jaroslav Černi” Institute for the Development of Water Resources, Serbia)
Copyright: 2014
Pages: 25
Source title:
Handbook of Research on High Performance and Cloud Computing in Scientific Research and Education
Source Author(s)/Editor(s): Marijana Despotović-Zrakić (University of Belgrade, Serbia), Veljko Milutinović (University of Belgrade, Serbia)and Aleksandar Belić (University of Belgrade, Serbia)
DOI: 10.4018/978-1-4666-5784-7.ch015
Purchase
|
Abstract
Real-world problems often contain nonlinearities, relationships, and uncertainties that are too complex to be modeled analytically. In these scenarios, simulation-based optimization is a powerful tool to determine optimal system parameters. Evolutionary Algorithms (EAs) are robust and powerful techniques for optimization of complex systems that perfectly fit into this concept. Since evolutionary algorithms require a large number of time expensive evaluations of candidate solutions, the whole process of optimization can take huge CPU time. In this chapter, .NET platform for distributed evaluation using WCF (Windows Communication Foundation) Web services is presented in order to reduce computational time. This concept provides parallelization of evolutionary algorithms independently of geographic location and platform where evaluation is performed. Hydroinformatics is a typical representative of fields where complex systems with many uncertainties are studied. Application of the developed platform in hydroinformatics is also presented in this chapter.
Related Content
|
Dina Darwish.
© 2024.
43 pages.
|
|
Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, Julius Kugonza.
© 2024.
23 pages.
|
|
Yogita Yashveer Raghav, Ramesh Kait.
© 2024.
17 pages.
|
|
Renuka Devi Saravanan, Shyamala Loganathan, Saraswathi Shunmuganathan.
© 2024.
21 pages.
|
|
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani, Huma Khan, Sabyasachi Pramanik, Ankur Gupta, Digvijay Pandey.
© 2024.
30 pages.
|
|
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, Balakumar Muniandi, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech.
© 2024.
9 pages.
|
|
Avtar Singh, Shobhana Kashyap.
© 2024.
11 pages.
|
|
|