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MX2011001694A - Metodos proxy para optimizacion de la funcion costosa con restricciones no lineales costosas. - Google Patents

Metodos proxy para optimizacion de la funcion costosa con restricciones no lineales costosas.

Info

Publication number
MX2011001694A
MX2011001694A MX2011001694A MX2011001694A MX2011001694A MX 2011001694 A MX2011001694 A MX 2011001694A MX 2011001694 A MX2011001694 A MX 2011001694A MX 2011001694 A MX2011001694 A MX 2011001694A MX 2011001694 A MX2011001694 A MX 2011001694A
Authority
MX
Mexico
Prior art keywords
expensive
function
proxy
solution
constraint
Prior art date
Application number
MX2011001694A
Other languages
English (en)
Inventor
Benoit Couet
Kashif Rashid
David Wilkinson
Saumil Ambani
Eren Cetinkaya
Hugues Djikpesse
Original Assignee
Logined Bv
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Logined Bv filed Critical Logined Bv
Publication of MX2011001694A publication Critical patent/MX2011001694A/es

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Operations Research (AREA)
  • Mining & Mineral Resources (AREA)
  • Geology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Fluid Mechanics (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geophysics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Feedback Control In General (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

Se describe un método para optimizar las funciones costosas con restricciones no lineales costosas. El método incluye seleccionar datos muestra para evaluar una función costosa de una simulación, generar un modelo Proxy de la función para la función costosa y un modelo Proxy de la restricción para una restricción no lineal costosa de la función costosa utilizando un esquema de aproximación, calcular un primer punto de solución para la simulación utilizando los modelos Proxy y evaluar la función costosa en el primer punto de solución utilizando los datos muestra. Cuando la función costosa y los modelos Proxy no convergen en el primer punto de solución, el método además incluye adicionar el primer punto de solución a los datos muestra para actualizar los modelos Proxy. El método además incluye repetir el cálculo y evaluación de los puntos de solución hasta que la función costosa y los modelos Proxy converjan y, después de la convergencia, identificar una solución óptima del modelo Proxy de la función y el modelo Proxy de restricciones.
MX2011001694A 2010-03-16 2011-02-14 Metodos proxy para optimizacion de la funcion costosa con restricciones no lineales costosas. MX2011001694A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US31434210P 2010-03-16 2010-03-16
US12/914,270 US8670960B2 (en) 2010-03-16 2010-10-28 Proxy methods for expensive function optimization with expensive nonlinear constraints

Publications (1)

Publication Number Publication Date
MX2011001694A true MX2011001694A (es) 2011-09-21

Family

ID=44858985

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2011001694A MX2011001694A (es) 2010-03-16 2011-02-14 Metodos proxy para optimizacion de la funcion costosa con restricciones no lineales costosas.

Country Status (4)

Country Link
US (1) US8670960B2 (es)
GB (1) GB2481087A (es)
MX (1) MX2011001694A (es)
NO (1) NO342719B1 (es)

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CA2744436A1 (en) * 2010-10-15 2012-04-15 International Business Machines Corporation Optimizing business process management models
WO2012078238A1 (en) * 2010-12-09 2012-06-14 Exxonmobil Upstream Company Optimal design system for development planning of hydrocarbon resources
CA2825189C (en) * 2011-01-31 2017-06-20 Landmark Graphics Corporation System and method for using an artificial neural network to simulate pipe hydraulics in a reservoir simulator
US20120215364A1 (en) * 2011-02-18 2012-08-23 David John Rossi Field lift optimization using distributed intelligence and single-variable slope control
WO2013188090A1 (en) * 2012-06-15 2013-12-19 Landmark Graphics Corporation Methods and systems for gas lift rate management
US20140214387A1 (en) * 2013-01-25 2014-07-31 Schlumberger Technology Corporation Constrained optimization for well placement planning
US10088891B2 (en) * 2013-09-23 2018-10-02 Cornell University Multi-core computer processor based on a dynamic core-level power management for enhanced overall power efficiency
US10443358B2 (en) 2014-08-22 2019-10-15 Schlumberger Technology Corporation Oilfield-wide production optimization
US9951601B2 (en) 2014-08-22 2018-04-24 Schlumberger Technology Corporation Distributed real-time processing for gas lift optimization
CN107947957B (zh) * 2016-10-13 2021-03-05 深圳市傲冠软件股份有限公司 目标带宽流量曲线的仿真方法和装置
US10437241B2 (en) 2016-12-16 2019-10-08 General Electric Company Systems and methods for generating maintenance packages
GB2579457B (en) * 2017-08-21 2022-05-04 Landmark Graphics Corp Iterative real-time steering of a drill bit
WO2020053199A1 (en) * 2018-09-13 2020-03-19 Shell Internationale Research Maatschappij B.V. Method for predicting subsurface features from seismic using deep learning dimensionality reduction for regression
US20200193075A1 (en) 2018-11-05 2020-06-18 Incucomm, Inc. System and method for constructing a mathematical model of a system in an artificial intelligence environment
CN111914382B (zh) * 2019-05-07 2023-04-21 宁波大学 一种基于代理模型的常减压装置的约束进化优化方法
CN111310328B (zh) * 2020-02-11 2023-06-09 大连理工大学 一种梯度增强协同代理模型的加点更新优化方法
EP4002226A3 (en) 2020-11-16 2022-06-22 U.S. Bank National Association Optimization methods and systems using proxy constraints
US12124965B2 (en) * 2020-12-07 2024-10-22 International Business Machines Corporation Combinatorial black box optimization with expert advice
CN112686430B (zh) * 2020-12-16 2024-02-23 南京富岛信息工程有限公司 一种提高炼化企业装置产品收率模型精度的方法
CN113821983B (zh) * 2021-10-12 2023-09-08 索为技术股份有限公司 基于代理模型的工程设计优化方法、装置及电子设备
CN115062501B (zh) * 2022-04-27 2025-05-02 南方科技大学 一种基于自适应子问题选择策略的芯片封装设计优化方法
CN119293614B (zh) * 2024-12-11 2025-05-30 南昌大学 一种基于全局与局部代理模型辅助的双区域协同优化方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005001722A2 (en) * 2003-06-25 2005-01-06 Bae Systems Plc Design optimisation of computationally intensive design problems
GB2405961B (en) 2003-09-12 2005-08-17 Volvo Aero Corp Optimisation of sequential combinatorial processes
GB0412611D0 (en) * 2004-06-05 2004-07-07 Ibm Probabilistic regression suites for functional verification
US7716029B2 (en) * 2006-05-15 2010-05-11 Schlumberger Technology Corporation Method for optimal gridding in reservoir simulation
US8046200B2 (en) * 2006-09-05 2011-10-25 Colorado State University Research Foundation Nonlinear function approximation over high-dimensional domains

Also Published As

Publication number Publication date
US20110270591A1 (en) 2011-11-03
GB2481087A (en) 2011-12-14
NO20110200A1 (no) 2011-09-19
GB2481087A8 (en) 2011-12-28
GB201104216D0 (en) 2011-04-27
NO342719B1 (no) 2018-07-30
US8670960B2 (en) 2014-03-11

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