求解约束优化问题的改进布谷鸟搜索算法

为了提高约束优化问题的求解精度和收敛速度，提出求解约束优化问题的改进布谷鸟搜索算法。首先分析了基本布谷鸟搜索算法全局搜索和局部搜索过程中的不足，对其中全局搜索和局部搜索迭代公式进行重新定义，然后以一定概率在最优解附近进行搜索。对12个标准约束优化问题和4个工程约束优化问题进行测试并与多种算法进行对比，实验结果和统计分析表明所提算法在求解约束优化问题上具有较强的优越性。

An Improved Cuckoo Search Algorithm for Solving Constrained Optimization Problem and Engineering Applications

An improved cuckoo search algorithm for constrained optimization problem is proposed to improve the convergence accuracy and convergence speed in solving constrained optimization problem. Firstly, the shortcomings of global search and local search in the basic cuckoo search algorithm are analyzed, the global search and local search are redefined, and then the search is carried out in the vicinity of the optimal solution with a certain probability. The 12 standard constraint optimization problems and 4 engineering constraint optimization problems are tested and compared with a variety of algorithms, Experimental results and statistical analysis show that the proposed algorithm is superior in solving constrained optimization problems.