
Output File :
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Document Name :
Intro To
Optimization
Document Type :
Portable Document
Format( PDF)
Size :
Approximately 1.02 MB, 56 Pages
Author :
Sayeed N Ghani
PhD (University of London)
DIC (Imperial College)
CEng (UK), MIEE (UK)
Six Sigma Green Belt Certified (USA) |
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This
will open the E-book in PDF format. This
requires Adobe Acrobat reader or any other
compatible PDF viewing software. |
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Gallery based Interface compatible with most
browsers. Documents converted into images
according to page number. |
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This is the compressed downloadable version of the same document. It has all three output files included. Uncompress before opening. |
Description : In traditional systems
design the objective is merely to meet the
specifications. There is no formal attempt to reach the
best design in the strict mathematical sense of
minimizing cost or weight or volume or maximizing
profit. Further in traditional systems design a highly
skilled engineer is in the design loop making sound
engineering decisions at every stage of the design
process. The process undergoes many manual iterations
before the design can be finalized making it a slow and
very costly process. The science of optimization is a
formalism that allows not only all specifications
(design constraints) to be met, but would also yield
design which is the best in terms of some figure(s) of
merit.
Output Files : The above document have
test problems on a rectifier filter and on a grain silo
( Both rural and urban ). Output results of
EVOP are in the form of text files below. The output
files are also included with the Acrobat Document as
Attachment.
OPTIMIZATION OF TEST PROBLEM - Grain Silo - Rural Area
OPTIMIZATION OF TEST PROBLEM - Grain Silo - Urban Area
OPTIMIZATION OF TEST PROBLEM: "RECTIFIER_FILTER_V1"
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INTRO TO
OPTIMIZATION CONTAINS |
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Systems Analysis vs. Design
Traditional Systems Design
Optimum Systems Design
Design Examples
Example: Design of A Grain Silo
First Design --- By Inexperienced Engineer
Second Design --- By Experienced Engineer
Third Design --- Optimum Design
Rural Area --- Cost of Land Low
Urban Area --- Cost of Land High
Example: Design of an Electric Power Supply Pi-Section LC Filter
First Design --- By Inexperienced Engineer
Second Design --- By Experienced Engineer
Third Design --- Optimum Design
Minimum Cost Filter Design When Explicit Inequality
Constraints Were Not Accounted For
Comparison of Above Three Designs
Maximization
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