期刊文献+

基于搜索空间划分的自主式遗传算法与应用 被引量:5

Search Space Partition Based on Autonomous Genetic Algorithm and Its Application
下载PDF
导出
摘要 如何让无疲劳的计算机代替易疲劳的用户是交互式遗传算法研究的一个重要内容。该文给出了基于搜索空间划分的自主式遗传算法。该方法首先利用遗传搜索过程中的历史信息对搜索空间进行划分,以实现在用户未疲劳时避免用户疲劳。当用户疲劳时,由机器代替用户评价进化个体继续进行遗传操作,从而达到减轻用户疲劳的目的。利用此方法进行服装设计的实验结果验证了该方法的有效性。 Search space partition based on autonomous genetic algorithm is put forward in this paper. Search space is divided based on the history information in genetic search which helped to realize the avoidance of user fatigue. Machine will take the place of user to evaluate evolution individuals when user is tired. So it can alleviate user fatigue. The algorithm is applied to fashion design and the simulation validates its efficiency.
出处 《杭州电子科技大学学报(自然科学版)》 2005年第5期6-9,共4页 Journal of Hangzhou Dianzi University:Natural Sciences
基金 国家自然科学基金资助项目(60304016)
关键词 自主式遗传算法 交互式遗传算法 搜索空间划分 autonomous genetic algorithm interactive genetic algorithm search space partition
  • 相关文献

参考文献6

  • 1H Takagi.Interactive evolutionary computation: Fusion of the capabilities of EC optimization and human evolution[J].Proceedings of the IEEE, 2001,89(9):1275-1296.
  • 2H S Kim, S B Cho.Application of interactive genetic algorithm to fashion design[J].Engineering Applications of Artificial Intelligence,2000,13(6): 635-644.
  • 3N Tokui, H Iba.Music composition with interactive evolutionary computation[J].Proceedings of the 3rd International Conference on Generative Art,2000,17(2):215-226.
  • 4T Morita, H Iba, M Ishizuka.Generating emotional voice and behavior expression by interactive evolutionary computation[J].Proceedings of the 62nd Annual Meeting of Japan Society for Information Processing,2001,16(4):45-46.
  • 5T Iwasaki, A Kimura, Y Todoroki, et al.Interactive virtual aquarium[J].Proceedings of the 5th Annual Conference of the Virtual Reality Society of Japan.2000,32(2):141-144.
  • 6胡静,李金龙,陈恩红,王煦法.交互式遗传算法中用户评估方法研究[J].小型微型计算机系统,2001,22(5):562-564. 被引量:5

二级参考文献2

  • 1Fang Chenghsu,Proc SMC'99,1999年
  • 2陈国良,遗传算法及其应用,1996年

共引文献4

同被引文献33

  • 1蒋珊珊,曹先彬,王煦法.基于IGA的用户Agent模型与设计[J].模式识别与人工智能,2004,17(2):244-249. 被引量:9
  • 2周勇,巩敦卫,郝国生,郭一楠,孙晓燕.交互式遗传算法基于NN的个体适应度分阶段估计[J].控制与决策,2005,20(2):234-236. 被引量:22
  • 3TAKAGI H. Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation[J]. Proceedings of the IEEE, 2001, 89(9) : 1275-1296.
  • 4CHO S B. Towards creative evolutionary systems with interactive genetic algorithm[J]. Applied Intelligence, 2002, 16: 129-138.
  • 5TOKUMARU M, MURANAKA N, IMANISHI S. Virtual stylist project: examination of adapting clothing search system to user' s subjectivity with interactive genetic algorithms[ C]// Proceedings of the 2003 Congress on Evolutionary Computation. Canberra:IEEE Press, 2003 : 1036-1043.
  • 6BILKS J A, ANDERSON P G, LOGGI L W. Neural network fitness functions for a musical IGA[ C]// Proceedings of the International Symposium on Intelligent Industrial Automation and Soft Computing. Reading: Naiso Academic Press, 1996:39- 44.
  • 7LLORA X, SASTRY K, GOLDBERGER D E, et al. Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness[R]. Illigal Report No. 2005009, 2005.
  • 8HOLLAND J H. Adaptation in natural and artificial systems [M]. Michigan: the University of Michigan Press, 1975.
  • 9Takagi H.Interactive Evolutionary Computation:Fusion of the Capabilities of EC Optimization and Human Evaluation[J].Proceedings of the IEEE,2001,89(9):1275-1296.
  • 10Biles J A,Anderson P G,Loggi L W.Neural Network Fitness Functions for a Musical IGA[C]//Proceedings of the 1st International Symposium on Intelligent Industrial Automation and Soft Computing.[S.1.]:NAISO Academic Press,1996.

引证文献5

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部