CAJ | 학술논문

针对人工鱼群算法后期搜索盲目性较大，容易陷入局部最优值的缺点，结合混沌优化算法的遍历性优势，提出了适用于水库中长期发电优化调度的混沌人工鱼群算法。实例仿真结果表明该混合算法能有效应用于水库中长期发电优化调度中，具有收敛速度快和寻优质量高等特点，为该模型求解提供了一种新思路。
침대인공어군산법후기수색맹목성교대，용역함입국부최우치적결점，결합혼돈우화산법적편력성우세，제출료괄용우수고중장기발전우화조도적혼돈인공어군산법。실례방진결과표명해혼합산법능유효응용우수고중장기발전우화조도중，구유수렴속도쾌화심우질량고등특점，위해모형구해제공료일충신사로。
The traditional artificial fish-school algorithm has defects of being trapped in a local optimal solution at the later searching stages .This paper combines the advantages of ergodicity in chaos optimization algorithm and proposes a method of chaos artificial fish-school algorithm for mid-term and long-term generation dispatching of reservoirs .The case study shows the modified algorithm can be successfully applied in the mid-term and long-term generation dispatching and has the advantages of rapid convergence rate and high quality ,so chaos artificial fish-school algorithm provides a new way for the optimization solution of mid-term and long-term gen-eration dispatching .