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Multi-objective optimization annealing

Sankararao, B. and Gupta, S. K. (2006). Multi-objective optimization of the dynamic operation of an industrial steam reformer using the jumping gene adaptations of simulated annealing, Asia Pac. J. Chem. Eng., 1, pp. 21-31. [Pg.57]

A Posteriori Methods Using Multi-Objective Approach (many based on evolutionary algorithms, simulated annealing, ant colony techniques etc.) These relatively recent methods have found many applications in chemical engineering. They provide many Pareto-optimal solutions and thus more information useful for decision making is available. Role of the DM is after finding optimal solutions, to review and select one of them. Many optimal solutions found will not be used for implementation, and so some may consider it as a waste of computational time. [Pg.11]

See other pages where Multi-objective optimization annealing is mentioned: [Pg.285]    [Pg.286]    [Pg.58]    [Pg.91]    [Pg.234]    [Pg.44]    [Pg.56]    [Pg.2]    [Pg.44]    [Pg.925]    [Pg.5]    [Pg.149]    [Pg.27]    [Pg.255]   
See also in sourсe #XX -- [ Pg.107 , Pg.108 ]



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