Počet záznamů: 1
Hypervolume-Based Local Search in Multi-Objective Evolutionary Optimization
- 1.Pilát, M. - Neruda, Roman
Hypervolume-Based Local Search in Multi-Objective Evolutionary Optimization.
GECCO '14. Proceedings of the 2014 Conference on Genetic and Evolutionary Computation. New York: ACM, 2014 - (Igel, C.; Arnold, D.), s. 637-644. ISBN 978-1-4503-2662-9.
[GECCO 2014. Genetic and Evolutionary Computation Conference. Vancouver (CA), 12.07.2014-16.07.2014]
http://hdl.handle.net/11104/0235641
Citováno: 4
--- ALLMENDINGER, R. - EMMERICH, M.T.M. - HAKANEN, J. - JIN, Y.C. - RIGONI, E. Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case. JOURNAL OF MULTI-CRITERIA DECISION ANALYSIS. ISSN 1057-9214, JAN-APR 2017, vol. 24, no. 1-2, p. 5-24. [WOS]
--- MASHWANI, W.K. - SALHI, A. - JAN, M.A. - SULAIMAN, M. - KHANUM, R.A. - ALGARNI, A. Evolutionary Algorithms Based on Decomposition and Indicator Functions: State-of-the-art Survey. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, FEB 2016, vol. 7, no. 2, p. 583-593. [WOS]
--- LOPEZ, E.M. - COELLO, C.A.C. A Parallel Multi-objective Memetic Algorithm Based on the IGD plus Indicator. PARALLEL PROBLEM SOLVING FROM NATURE - PPSN XIV. ISSN 0302-9743, 2016, vol. 9921, p. 473-482. [WOS]
--- BRINGMANN, K. - FRIEDRICH, T. - KLITZKE, P. Efficient Computation of Two-dimensional Solution Sets Maximizing the Epsilon-Indicator. 2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC). 2015, p. 970-977. [WOS]
Počet záznamů: 1