Titlebook: Evolutionary Programming VI; 6th International Co Peter J. Angeline,Robert G. Reynolds,Russ Eberhart Conference proceedings 1997 Springer-V

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Crafting Meaningful Experiences,rs a solution that satisfies all of the constraints of the the current network, one additional constraint is added. Results show that our algorithm performs exceptionally well in the presence of dynamic (incremental) constraints.

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Evolian: Evolutionary optimization based on lagrangian with constraint scaling, multipliers and penalty parameter. This procedure is repeated until a satisfactory solution is obtained. Computer simulation results indicate that Evolian gives outperforming or at least reasonable results for multivariable heavily constrained function optimization as compared to other evolutionary computation-based methods.

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