混沌优化算法将混沌载波和模拟退火策略结合加快了寻优速度。
Chaos optimization algorithm, which combines chaos carrier wave with simulated annealing algorithm improves system optimization speed.
典型函数优化的仿真结果表明，该算法具有寻优能力强、搜索精度高、稳定性好等优点，适合于工程应用中的函数优化问题。
Experimental simulations shows that the proposed algorithm has powerful optimizing ability, good stability and higher optimizing precision, so it can be applied in optimization problems.
该算法在起始阶段利用混沌优化算法寻找初始点，随后采用BFS法完成参数寻优过程。
At the initial stage, chaotic optimization algorithm is used to search a global initial point. Then, a BFS algorithm is adopted to complete the parameters-optimized process.
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