This paper presents an optimization algorithm called KGCS suitable to be used for different engineering problems. The efficiency of the algorithm is given by the aggregation between the particularities of the Cuckoo Search algorithm and of the Knowledge Gradient policy. The paper also presents the testing of the KGCS algorithm on benchmark engineering problems, such as the optimal design of welded beams, speed reducers or four bar trusses. The results of the tests are compared to the ones reported in the literature for other evolutionary algorithms to prove the high performance of the KGCS algorithm.  

Key words: evolutionary algorithm, optimization, engineering design, welded beam, speed reducer, four bar truss.

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