CAJ | 학술논문

在基本差分进化算法的基础上融入自适应变空间思想,提出自适应变空间差分进化算法,在进化代数达到预设周期整数倍时,按变空间算法自动扩展或收缩搜索空间,实现了自动寻找合适搜索空间、提高收敛速度和精度的目的.此外为了进一步的加快收敛速度,对原变空间算法进行了改造,对其上下限的变化规则进行了修改和添加,提出了改进的变空间算法.仿真结果表明改进方法在收敛精度、速度上优于基本差分进化算法和基于原变空间算法的差分进化算法.最后将其应用到热连轧机精轧机组负荷分配优化计算中,为其提供了一种有效的优化手段.
재기본차분진화산법적기출상융입자괄응변공간사상,제출자괄응변공간차분진화산법,재진화대수체도예설주기정수배시,안변공간산법자동확전혹수축수색공간,실현료자동심조합괄수색공간、제고수렴속도화정도적목적.차외위료진일보적가쾌수렴속도,대원변공간산법진행료개조,대기상하한적변화규칙진행료수개화첨가,제출료개진적변공간산법.방진결과표명개진방법재수렴정도、속도상우우기본차분진화산법화기우원변공간산법적차분진화산법.최후장기응용도열련알궤정알궤조부하분배우화계산중,위기제공료일충유효적우화수단.
To improve the performance of differential evolution algorithm we present a differential evolution algorithm with space-adaptive idea, which expands or shrinks the search space by certain roles. It realizes the automatic search for the suitable space and improves the convergence rate and accuracy. For further improvement of the convergence rate, the original space-adaptive algorithm is modified by revising the existing rules and adding new rules. The simulation results show that the improved space-adaptive-based differential evolution algorithm is better than the original differential evolution algorithm in convergence rate and accuracy. This algorithm is applied to several hot strip mills for the optimal design of scheduling.