In this paper we evaluate the design of the hybrid EAs that are currently used to perform flexible ligand binding in the Autodock docking software. Hybrid evolutionary algorithms (E&) incorporate specialized operators that exploit domain-specific features to accelerate an EA'S search. We consider hybrid EAs that use an integrated local search operator to r e h e individuals within each iteration of the search. We evaIuate several factors that impact the efficacy of a hybrid EA, and we propose new hybrid EAs that provide more robust convergence to low-energ d d i n g configurations than the methods currently available in Autodock.

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