Sequential quadratic programming enhanced backtracking search algorithm
Frontiers Comput. Sci.(2018)
摘要
In this paper, we propose a new hybrid method called SQPBSA which combines backtracking search optimization algorithm (BSA) and sequential quadratic programming (SQP). BSA, as an exploration search engine, gives a good direction to the global optimal region, while SQP is used as a local search technique to exploit the optimal solution. The experiments are carried on two suits of 28 functions proposed in the CEC-2013 competitions to verify the performance of SQPBSA. The results indicate the proposed method is effective and competitive.
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关键词
numerical optimization,backtracking search algorithm,sequential quadratic programming,local search
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