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基于交互式演化的海报设计方法

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摘要 典型的现代优化方法只能解决显示优化问题,本文主要从隐式优化问题入手,利用交互式演化算法让用户参与目标个体评价的特点,计算出满足用户需求的最优个体,最后将此方法用在海报设计上,得出较好的结果。
作者 李娟
出处 《科技视界》 2015年第36期281-281,共1页 Science & Technology Vision
基金 湖北省教育厅科学研究计划资助项目(B2015328)
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参考文献5

  • 1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
  • 2Shengxiang, Y. and k Changhe,A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamiu En,ironments.Evulutioaaq Computation, IEEE Transa(tions on, 2010,14(6)[Z].
  • 3B Bezirtzis, M Lewis,and C. Christeson,lnteractive Evolution for Industrial Design. Proceedings of the 6th ACM SIGCHI Conference Cm Creativity & Cognition,2007: 183-192[Z].
  • 4Y Ogata and T Onisawa,Interactive Clothes Design Support System.Lecture Notes in Computer Science. 2008, voh4985: 657-665[7.].
  • 5T Nakajima, S Hashimoto, K. Haruyama,etc. Otticc Layout Support System using Interactive Genetic Algorithm. Proceedings of 2006 IEEE Congress on Evolutionary Computation, Vancmver, BC, Canada, July 16-21, 2006:56-63[Z].

二级参考文献5

  • 1Takagi H. Interactive evolutionary computation:Fusion of the capabilities of EC optimization and human evaluation[J]. Proc of the IEEE, 2001,89 (9) : 1275-1296.
  • 2Biles J A, Anderson P G, Loggi L W. Neural network fitness functions for a musical IGA[A]. Proc of the Int ICSC Symposium on Intelligent Industrial Automation and Soft Computing[C]. UK, 1996;B39-44.
  • 3Lee Joo-young, Cho Sung-bae. Sparse fitness evaluation for reducing user burden in interactive genetic algorithm [A]. 1999 IEEE Internatil Fuzzy Systems Conference Proceedings [C]. Seoul, 1999, 2:998-1003.
  • 4Sugimoto F, Yoneyama M. An evaluation of hybrid fitness assignment strategy in interactive genetic algorithm[A]. Proc of the 5th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems[C].Dunedin, 2001 :62-69.
  • 5王上飞,王胜惠,王煦法.结合SVM的交互式遗传算法及其应用[J].数据采集与处理,2003,18(4):429-433. 被引量:14

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