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Computational library design simulated annealing

The methods of simulated annealing (26), genetic algorithms (27), and taboo search (29) are three of the most popular stochastic optimization techniques, inspired by ideas from statistical mechanics, theory of evolutionary biology, and operations research, respectively. They are applicable to our current problem and have been used by researchers for computational library design. Because SA is employed in this chapter, a more-detailed description of the (generalized) SA is given below. [Pg.381]

See other pages where Computational library design simulated annealing is mentioned: [Pg.379]    [Pg.396]    [Pg.369]    [Pg.368]    [Pg.341]    [Pg.361]    [Pg.397]    [Pg.398]    [Pg.318]    [Pg.205]    [Pg.141]    [Pg.411]    [Pg.153]    [Pg.405]    [Pg.324]    [Pg.760]   
See also in sourсe #XX -- [ Pg.189 , Pg.192 , Pg.193 , Pg.194 ]



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