$\require{mediawiki-texvc}$
  • 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"

특허 상세정보

Reduction of fitness evaluations using clustering techniques and neural network ensembles

국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판) G06F-015/18    G06F-005/00   
미국특허분류(USC) 706/013; 706/012; 706/019
출원번호 US-0042991 (2005-01-24)
등록번호 US-7363281 (2008-04-22)
우선권정보 EP-04001615(2004-01-26); EP-04010194(2004-04-29)
발명자 / 주소
출원인 / 주소
대리인 / 주소
    Fenwick & West LLP
인용정보 피인용 횟수 : 10  인용 특허 : 25
초록

The invention relates to an evolutionary optimization method. First, an initial population of individuals is set up and an original fitness function is applied. Then the offspring individuals having a high evaluated quality value as parents are selected. In a third step, the parents are reproduced to create a plurality of offspring individuals. The quality of the offspring individuals is evaluated selectively using an original fitness function or an approximate fitness function. Finally, the method returns to the selection step until a termination condi...

대표
청구항

What is claimed is: 1. An evolutionary optimization method for optimizing a hydrodynamic or aerodynamic design, a set of parameters for the hydrodynamic or aerodynamic design represented by individuals, the method comprising the steps of: (a) setting up an initial population of the individuals representing the set of parameters for the hydrodynamic or aerodynamic design and applying an original fitness function; (b) selecting offspring individuals having a high evaluated quality value as parents; (c) reproducing the parents to create a plurality of offs...

이 특허에 인용된 특허 (25)

  1. Smith Brian L.. Adaptive computing systems, computer readable memories and processes employing hyperlinear chromosomes. USP1998105819244.
  2. Jin,Yaochu; Sendhoff,Bernhard. Approximate fitness functions. USP2006057043462.
  3. McCormack Michael D. ; MacAllister Donald J. ; Stoisits Richard F. ; Scherer Perry W. ; Ma Tuan D.. Automated material balance system for hydrocarbon reservoirs using a genetic procedure. USP1999075924048.
  4. Martin, Peter N.. Color interpolation system. USP2003046549233.
  5. Wang Daniel T. (Jacksonville FL) Johnson Lars W. (Indialantic FL) Lepper John M. (Jacksonville FL) Martin Wallace A. (Orange Park FL) Reinhart Leonard R. (Melbourne FL) Sanka Ravi S. (Jacksonville FL. Computer system for quality control correlations. USP1995105461570.
  6. Ichimori Toshihide (Kawasaki JPX) Maeda Akira (Yokohama JPX) Funabashi Motohisa (Sagamihara JPX) Nakano Toshihiko (Ibaraki JPX). Fuzzy rule acquisition method and apparatus for fuzzy inference system and fuzzy inference system using the apparatus. USP1996015487130.
  7. Murphy Guy C. (Fairfield OH) Haaser Frederic G. (Cincinnati OH) Matacia Anthony J. (Cincinnati OH). Gas turbine outlet guide vane mounting assembly. USP1991125074752.
  8. Syswerda Gilbert P. (Winchester MA). Generation of schedules using a genetic procedure. USP1994065319781.
  9. McCormack Michael D. (Plano TX) Feldman D. Scott (Anchorage AK) Bowling Chester M. (Evergreen CO). Genetic method of scheduling the delivery of non-uniform inventory. USP1996075541848.
  10. Eberhart, Russell C.; Shi, Yuhui. Method and apparatus for evolving a neural network. USP2003026516309.
  11. Choi, Lawrence J.; Kuenne, Christopher B.; Holstein, II, Kurt E.. Method and system for clustering optimization and applications. USP2005086928434.
  12. Rai, Man Mohan; Madavan, Nateri K.. Method for constructing composite response surfaces by combining neural networks with other interpolation or estimation techniques. USP2003086606612.
  13. Keller, Jakob. Method for designing a flow device. USP2003116654710.
  14. Xiao, Jing. Method for generating near-optimal sequencing of manufacturing tasks subject to user-given hard and soft constraints. USP2003126662167.
  15. Pelikan,Martin; Goldberg,David E.. Method for optimizing a solution set. USP2006057047169.
  16. Dunbar Donald K. ; Miller Marlen L. ; Converse George L.. Methods for designing variable cycle gas turbine engines. USP2001096292763.
  17. Roffman Jeffrey H.. Neural network analysis for multifocal contact lens design. USP1998035724258.
  18. 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.
  19. 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.
  20. Motoyama Keiichi,JPX ; Arima Toshiyuki,JPX ; Shirotori Masatoshi,JPX. Object shape determining method. USP2001096285968.
  21. Roska Tamas (Budapest CA HUX) Chua Leon O. (Berkeley CA). Reprogrammable CNN and supercomputer. USP1994105355528.
  22. Lawrence E. Hunter. System and method for combining multiple learning agents to produce a prediction method. USP2002096449603.
  23. Ulyanov, Sergei V.. System and method for control using quantum soft computing. USP2003066578018.
  24. Ulyanov, Sergei V.; Panfilov, Sergei; Takahashi, Kazuki. System and method for nonlinear dynamic control based on soft computing with discrete constraints. USP2005096950712.
  25. Allen John B. (Long Beach CA). Trailing edge splitter. USP1993115265830.

이 특허를 인용한 특허 피인용횟수: 10

  1. Goldberg, David E.; Sastry, Kumara; Lobo, Fenando G.; Lima, Claudio F.. Adaptive optimization methods. USP2012038131656.
  2. Szathmary, Eors; Szatmary, Zoltan; Ittzes, Peter; Szamado, Szabolcs. Evolutionary neural network and method of generating an evolutionary neural network. USP2011027882052.
  3. Jiang, Guofei; Chen, Haifeng; Yoshihira, Kenji. Method and system for modeling likely invariants in distributed systems. USP2011098019584.
  4. Mukherjee, Subhankar; Ahn, Taejin; Bopardikar, Ajit S.; Bhaduri, Anirban; Mallavarapu, Srikanth Rama. Methods and systems for customizable clustering of sub-networks for bioinformatics and health care applications. USP2017069690844.
  5. Goldberg, David E.; Sastry, Kumara; Llorá, Xavier F.. Methods and systems for interactive computing. USP2011077979365.
  6. McConaghy, Trent Lorne. Modeling of systems using canonical form functions and symbolic regression. USP2012128332188.
  7. Chen, Dingding; Quirein, John A.; Wiener, Jacky M.; Grable, Jeffery L.; Hamid, Syed; Smith, Jr., Harry D.. Neural network training data selection using memory reduced cluster analysis for field model development. USP2013028374974.
  8. Chen, Dingding; Zhong, Allan; Hamid, Syed; Stephenson, Stanley. Neural-network based surrogate model construction methods and applications thereof. USP2011118065244.
  9. Bollen, Johan L T M; Mao, Hulna. Predicting economic trends via network communication mood tracking. USP2013028380607.
  10. Chen, Dingding; Hamid, Syed; Dix, Michael C.. Systems and methods employing cooperative optimization-based dimensionality reduction. USP2016129514388.