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Multi-objective genetic algorithms MOGAs

Discrete event simulation and Multi-objective Genetic Algorithm (MOGA)... [Pg.233]

The paper is organized as follows. For completeness of the material, in Section 2 the concept of network global reliability efficiency is recalled with reference to the IEEE RTS 96 and a short introduction to the basic concepts behind the optimization procedure by Multi-Objective Genetic Algorithms is given in Section 3. In Section 4, the multi-objective optimization problem of the IEEE RTS 96 is defined and solved by the WP-MOGA approach. Conclusions on the outcomes of the study are eventually drawn in Section 5. [Pg.1815]

See other pages where Multi-objective genetic algorithms MOGAs is mentioned: [Pg.188]    [Pg.286]    [Pg.12]    [Pg.64]    [Pg.383]    [Pg.1815]    [Pg.1815]    [Pg.333]    [Pg.335]    [Pg.336]    [Pg.338]    [Pg.351]    [Pg.409]    [Pg.336]    [Pg.234]    [Pg.54]    [Pg.55]    [Pg.3618]    [Pg.188]    [Pg.286]    [Pg.12]    [Pg.64]    [Pg.383]    [Pg.1815]    [Pg.1815]    [Pg.333]    [Pg.335]    [Pg.336]    [Pg.338]    [Pg.351]    [Pg.409]    [Pg.336]    [Pg.234]    [Pg.54]    [Pg.55]    [Pg.3618]    [Pg.1819]    [Pg.1820]    [Pg.537]    [Pg.558]    [Pg.82]   
See also in sourсe #XX -- [ Pg.383 , Pg.385 ]



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