计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
10期
50-52
,共3页
函数优化%早熟收敛%差分演化算法%克隆选择算法
函數優化%早熟收斂%差分縯化算法%剋隆選擇算法
함수우화%조숙수렴%차분연화산법%극륭선택산법
numerical optimization%premature convergence%differential evolution%clonal selection algorithm
为了解决函数优化过程中的“早熟收敛”和“搜索迟钝”问题,将差分演化算法与克隆选择算法进行了结合,提出了一种新的差分演化克隆选择算法.该算法将克隆选择操作引入到差分演化算法中,达到了既能够选出最好个体又能够保证种群多样性的效果.实验结果表明该算法在多峰值函数优化问题中,具有求解精度较高,收敛速度较快等优点.
為瞭解決函數優化過程中的“早熟收斂”和“搜索遲鈍”問題,將差分縯化算法與剋隆選擇算法進行瞭結閤,提齣瞭一種新的差分縯化剋隆選擇算法.該算法將剋隆選擇操作引入到差分縯化算法中,達到瞭既能夠選齣最好箇體又能夠保證種群多樣性的效果.實驗結果錶明該算法在多峰值函數優化問題中,具有求解精度較高,收斂速度較快等優點.
위료해결함수우화과정중적“조숙수렴”화“수색지둔”문제,장차분연화산법여극륭선택산법진행료결합,제출료일충신적차분연화극륭선택산법.해산법장극륭선택조작인입도차분연화산법중,체도료기능구선출최호개체우능구보증충군다양성적효과.실험결과표명해산법재다봉치함수우화문제중,구유구해정도교고,수렴속도교쾌등우점.
To further avoid the problem of premature convergence and search stolidity in the process of resolving function opti-mization, a differential evolution clonal selection algorithm based on the clonal selection theory is proposed which can enhance the operating efficiency and the convergence rate of the differential evolution algorithm and then can both select the best individual and guarantee the population diversity. The simulation experimental results show that the result of the multiple hump function is accurate and the convergence speed is fast.
