计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2010年
3期
51-53,101
,共4页
非线性规划%全局优化%粒子群优化%混沌优化%自适应
非線性規劃%全跼優化%粒子群優化%混沌優化%自適應
비선성규화%전국우화%입자군우화%혼돈우화%자괄응
nonlinear optimization%global optimization%particle swarm opfimization%chaos optimization%adaptive
充分利用粒子群优化算法的收敛速度较快及混沌运动的遍历性、随机性以及对初值的敏感性等特性,考虑到惯性因子对多样性的影响,通过引入早熟收敛程度评价机制,采用逻辑自映射函数来产生混沌序列,提出一种基于混沌思想的自适应混沌粒子群优化(ACPSO)算法,改善了粒子群优化算法摆脱局部极值点的能力,提高了算法的收敛速度和精度.仿真结果表明提出的自适应混沌粒子群优化算法的性能明显优于一般混沌粒子群优化算法.
充分利用粒子群優化算法的收斂速度較快及混沌運動的遍歷性、隨機性以及對初值的敏感性等特性,攷慮到慣性因子對多樣性的影響,通過引入早熟收斂程度評價機製,採用邏輯自映射函數來產生混沌序列,提齣一種基于混沌思想的自適應混沌粒子群優化(ACPSO)算法,改善瞭粒子群優化算法襬脫跼部極值點的能力,提高瞭算法的收斂速度和精度.倣真結果錶明提齣的自適應混沌粒子群優化算法的性能明顯優于一般混沌粒子群優化算法.
충분이용입자군우화산법적수렴속도교쾌급혼돈운동적편력성、수궤성이급대초치적민감성등특성,고필도관성인자대다양성적영향,통과인입조숙수렴정도평개궤제,채용라집자영사함수래산생혼돈서렬,제출일충기우혼돈사상적자괄응혼돈입자군우화(ACPSO)산법,개선료입자군우화산법파탈국부겁치점적능력,제고료산법적수렴속도화정도.방진결과표명제출적자괄응혼돈입자군우화산법적성능명현우우일반혼돈입자군우화산법.
By making the best of the particle swarm optimization's quick convergence speed and the ergodicity,stochastic prop-erty and regularity of chaos,considering the effect of inertia gene for diversity,introducing the evaluate mechanism about precocity convergence's degree,getting chaos sequence using logic mapped function, this paper proposes an adaptive particle swarm global optimization algorithm based on Chaos.The experimental results demonstrate that the new algorithm has the ability to avoid being trapped in local minima,and improves computational precision,convergence speed and the ability of global optimization.The per-formance of ACPSO is evidently better than original PSO and CPSO.
