Intro to Optimization

 

“For Devices & Systems Designers”

All rights reserved

Copyright C 2007 by Sayeed Nurul Ghani.

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

“INTRO TO OPTIMIZATION CONTAINS ”


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