[1]Kennedy J, Eberhart R C. Parcticle swarm optimization[C]// Proceedings of IEEE International Conference on Neural Networks. Perth, 1995:1942-1948.
[2]Shi Y, Eberhart R C.A modified particle swarm optimizer[C]// Proceedings of the 1998 IEEE International Conference on Evolutionary Computation. Alaska, USA, 1998:69-73.
[3]Shi Y, Eberhart R. Fuzzy adaptive particle swarm optimization[C]// Proceedings of the 2001 Congress on Evolutionary Computation. Seoul, 2001:101-106.
[4]Eberhart R, Shi Y. Tracking and optimizing dynamic systems with particle swarm [C]// Proceedings of the 2001 Congress on Evolutionary Computation.Seoul, 2001:94-100.
[5]Iwasaki N, Yasuda K, Ueno G. Dynamic parameter tuning of particle swarm optimization[J]. IEEE Transactions on Electrical and Electronic Engineering, 2006,1(4):353-363.
[6]陈贵敏,贾建援,韩琪. 粒子群优化算法的惯性权值递减策略研究[J]. 西安交通大学学报, 2006,40(1):53-56.
[7]冯婷,陆雪松,阳维,等. 改进收敛条件的动态调整惯性权重PSO算法[J]. 计算机工程与应用, 2009,45(3):175-177.
[8]Yasuda K, Iwasaki N. Adaptive particle swarm optimization using velocity information of swarm[C]// IEEE International Conference on Systems, Man and Cybernetics. 2004,4:3475-3481.
[9]张艳琼. 改进的云自适应粒子群优化算法[J]. 计算机应用研究, 2010,27(9):3250-3252.
[10]Angeline P J. Using selection to improve particle swarm optimization[C]// Proceedings of the 1998 IEEE International Conference on Evolutionary Computation. Alaska, 1998:84-89.
[11]Ratnaweera A, Halgamuge S K, Watson H C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients[C]// IEEE Transactions on Evolutionary Computation. 2004:240-255.
[12]颜俊华,张敏,王永军. 基于遗传算法的智能粒子群优化算法[J]. 西南大学学报(自然科学版), 2010,32(11):135-139.
[13]胡建,李志蜀,欧鹏,等. 粒子群优化算法中的位置矢量的评价策略[J]. 四川大学学报(工程科学版), 2009,41(1):139-145.
[14]李戎,潘玮,顾峰,等. 计算机测配色的历史与现状[J]. 北京纺织, 1999,20(2):59-61.
[15]李效周. 计算机配色系统在油墨配色上的应用[J]. 今日印刷, 2006(5):72-73.
[16]王喜昌,周丰昆,龙科慧. 三刺激值配色和全光谱配色的比较[J]. 光学精密工程, 1999,7(2):13-16.
[17]董振礼,郑宝海,轷桂芬,等. 测色与计算机配色[M]. 2版. 北京:中国纺织出版社, 2007.
[18]刘武辉. 印刷色彩管理[M]. 北京:化学工业出版社, 2011.
|