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A new approach using the hybrid genetic-based evolution algorithm without gradient requirements is proposed for the optimum design of piled raft foundations. Objective functions considered are the differential settlement based on a serviceability of the structure and the cost-based total weight of the raft and piles. In formulating the genetic algorithm-based optimum design procedure, the analysis of piled raft foundations is performed based on the hybrid finite element-elastic continuum-load transfer approach developed by Clancy, considering interaction effects between pile-soil-pile, raft-soil-raft, and raft-soil-pile. The simple genetic algorithm by Goldberg is used as a basis for the optimum design of piled raft foundations. In addition, a hybridization of the Goldberg`s simple genetic algorithm is performed by incorporating a data-filtering routine as Lamarckian`s evolution. To verify the validity of the proposed data-filtering hybrid genetic algorithm-based optimum design procedure, the optimized location of piles is compared with results of small-scaled model tests. The load-sharing ratios between piles and the raft are also investigated based on model test results. Further to examine the efficiency of the proposed design procedure, two examples of piled raft foundations are analyzed.

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UCI(KEPA) : I410-ECN-0101-2020-531-000200308