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Optimization Introduction

Date post: 08-Nov-2015
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This file intend the introduction about optimization method. You'll get an explaining about linear programming.
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CAD-CAM Oleh : Haris Setiawan Pengantar; Optimasi Satu Variabel; Optimasi Banyak Variabel Optimasi Numerik
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  • CAD-CAM

    Oleh :

    Haris Setiawan

    Pengantar; Optimasi Satu Variabel;Optimasi Banyak Variabel

    Optimasi Numerik

  • INTRODUCTORY EXAMPLE

    Persoalan pemilihan diameter pipa untuk mengangkutfluida dari satu proses ke proses yang lain

    Diameter pipa optimum, berdasarkan:Biaya investasi, dan biaya operasi

    Diameter pipamanayang akan Andapilih?

  • Definisi dan Jenis Optimasi

    Optimasi merupakan suatu proses untuk mencarikondisi yang optimum, dalam arti paling menguntungkan.

    Optimasi bisa berupa maksimasi atau minimasi

    Jika berkaitan dengan masalah keuntungan, maka keadaan optimum adalah keadaan yang memberikan

    keuntungan maksimum (maksimasi).

    Jika berkaitan dengan masalahpengeluaran/pengorbanan, maka keadaan optimum adalah keadaan yang memberikanpengeluaran/pengorbanan minimum (minimasi).

  • Introduction

    Numerical optimization is one of the tools needed to produce the optimum (PRODUCT) design.

    In studying design optimization, it is important to distinguish between analysis and design.

    Analysis is the process of determining the response of a specified system to its environment.Ex. stress calculation in a structure due to applied loads.

    Design is the actual process of defining the system.Ex. defining sizes and locations of members necessary to support a prescribed set of loads in actual structural design.

    Analysis is a sub-problem of the design process

  • Fungsi Objektif

    Secara umum, fungsi yang akan dimaksimumkan ataudiminimumkan disebut fungsi objektif (objective function), sedangkan harga-harga yang berpengaruhdan bisa dipilih disebut variabel (perubah) ataudecision variable.

    Secara analitik, nilai maksimum atau minimum dari suatupersamaan: y = f(x)

    dapat diperoleh pada harga x yang memenuhi:y = f(x) = 0Untuk fungsi yang sulit untuk diturunkan atau mempunyaiturunan yang sulit dicari akarnya, proses optimasi dapatdilakukan secara numerik.

  • Contoh Persoalan Optimasi dalamBidang Engineering

    Design pump and heat transfer equipment for maximum efficiency

    Design waste water treatment system to meet water-quality standards of least cost

    Optimal planning and scheduling Optimal pipeline network Inventory control Maintenance planning to minimize cost etc.

  • Contoh Constraints yang MenyertaiPersoalan Optimasi

    Maximum process temperature Maximum flow rate limitation Maximum conversion limitation Product purity Strength of materials Environmental factor Safety consideration Availability of utilities Corrosion considerations Availability and characteristics of feed stocks Market demand for the product Space limitation An upper limit on the capital investment

  • Example Unconstrained function minimization

    From above we can estimate that the minimum value of F (X) will atx1

    * = 1 and x2*= 1

  • Notes: In this example, the optimum can be found both graphicallyand analytically. This example has a little engineering value, except fordemonstration purpose

  • Example 3-2 Constrained function minimization

  • The column must be designed so that the magnitude of theapplied stress is less than the minimum of allowable stress,Euler-buckling stress, and shell-buckling stress, so

    In addition to stress limitations, the design must satisfy the geometric conditions as follows

  • The design problem can now be stated compactly as

  • Tugas dirumah


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