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특허 상세정보

Methods for multi-objective optimization using evolutionary algorithms

국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판) G06F-015/18    G06F-017/00    G06N-003/00    G06N-003/12    G06N-005/00   
미국특허분류(USC) 706/013; 706/045
출원번호 US-0007906 (2001-11-09)
등록번호 US-7363280 (2008-04-22)
우선권정보 EP-00124824(2000-11-14)
발명자 / 주소
출원인 / 주소
대리인 / 주소
    Fenwick & West LLP
인용정보 피인용 횟수 : 11  인용 특허 : 19

In the field of multi-objective optimization using evolutionary algorithms conventionally different objectives are aggregated and combined into one objective function using a fixed weight when more than one objective needs to be optimized. With such a weighted aggregation, only one solution can be obtained in one run. Therefore, according to the present invention two methods to change the weights systematically and dynamically during the evolutionary optimization are proposed. One method is to assign uniformly distributed weight to each individual in the...


What is claimed is: 1. A computer-implemented method for optimizing multi-objective engineering or design problems using evolutionary algorithms, the method comprising the steps of: (a) setting up an initial population of individuals as parents, the individuals encoding object parameters to be optimized wherein said object parameters represent engineering or design characteristics including physical characteristics; (b) reproducing the parents to create a plurality of offspring individuals; (c) evaluating a quality of the offspring individuals by means ...

이 특허에 인용된 특허 (19)

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  2. Jin,Yaochu; Sendhoff,Bernhard. Approximate fitness functions. USP2006057043462.
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  8. Rai, Man Mohan; Madavan, Nateri K.. Method for constructing composite response surfaces by combining neural networks with other interpolation or estimation techniques. USP2003086606612.
  9. Xiao, Jing. Method for generating near-optimal sequencing of manufacturing tasks subject to user-given hard and soft constraints. USP2003126662167.
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  12. Koza John R. (25372 La Rena La. Los Altos Hills CA 94022). Non-linear genetic algorithms for solving problems by finding a fit composition of functions. USP1992085136686.
  13. Koza John R. (25372 La Rena La. Los Altos Hills CA 94022) Rice James P. (Redwood City CA). Non-linear genetic process for use with plural co-evolving populations. USP1992095148513.
  14. Motoyama Keiichi,JPX ; Arima Toshiyuki,JPX ; Shirotori Masatoshi,JPX. Object shape determining method. USP2001096285968.
  15. Kasai, Yuji; Murakawa, Masahiro; Itatani, Taro; Higuchi, Tetsuya. Optical apparatus, optical apparatus adjustment method, and storage medium recorded with a processing program that executes said adjustment method. USP2004086781682.
  16. Roska Tamas (Budapest CA HUX) Chua Leon O. (Berkeley CA). Reprogrammable CNN and supercomputer. USP1994105355528.
  17. Lawrence E. Hunter. System and method for combining multiple learning agents to produce a prediction method. USP2002096449603.
  18. Ulyanov, Sergei V.. System and method for control using quantum soft computing. USP2003066578018.
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