Počet záznamů: 1  

Hypervolume-Based Local Search in Multi-Objective Evolutionary Optimization

  1. 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

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    --- 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  

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