optimal design and decision-making in practice

7/28/2019 Optimal Design and Decision-Making in Practice

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Interactive Multiobjective Optimization

and Decision-Making (Part I)

A.Mosavi

A.Mosavi, Interactive Multiobjective Optimization and Decision-Making, Product Design and Optimization Lab, MechatronicSystems Engineering, School of Engineering Science, Simon Fraser University, 2012.


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Energy minimization

2

The V-2 rocket;

first human artifact to

enter outer space

1950s


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The V-2 Rocket;

Experimental Design Criteria

Areodynamics

Hydrodynamics

Chemicals

Mechanicals Material

Heat transfer

Manufacturing

Aviation ..

Considering multiple design criteria leads to a great

design3


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Making the point (1)

In fact the integration of multiple criteria in

product design,

Whether in SBD or traditional methods,

is the success-key

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Integration in Automotive Design

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Optimization and Decision-Making for SBD

SBD is already complicated!

SBD would definitly need easier integtation andsimpler MOO & MCDM tools to be practical.

Focusing on design! not configuring the optimzation

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Philosophy

SBD is a complicated task.

Simplification;

Identifying the potential algorithms in OR community and

adopting them for engineering applications.

Numerus algorithms exist, but no awareness!

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Engineering design optimization in practice

Limited Awareness about OR Algorithms

Engineering community often dosent like the

mathematical complexity involved in OR

A survey GECCO 2007(http://www.sigevo.org/gecco-2007/).

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Engineering design optimization in practice;

remarks

Growth of design optimisation publication and comparison with theoptimization for mechanical parts

.

Numerus algorithms exist, but no awareness! 9


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Major remarks

The majority of the companies try to achieve optimized design.

40% support continuous improvement as a way to improvement.

Optimization of the design are mostly expert-based optimization approach.

Design optimization is time consuming.

FEA and CAE followed by classical DOE.

The main criterion to optimize a design is cost.

Expert-based optimization approaches are less time consuming than GA.

Developing novel designs using GAs fails to describe a logical product

development process involving DM.

Lack of integrated software tools to support the optimisation process.

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Software tools

In fact the usage of an algorithm is limitedunless implemented via a software tools

1. The reactive tabu search, R Battiti, G Tecchiolli, ORSA journalon computing, 1994.

Software tool released in 2012

LIONsolver

CAE integration

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Software tools

2. I.N. Egorov. Indirect Optimization Method on theBasis of Self-Organization,1998.

Software tool released in 2007IOSO approach

CAE, CAD integration e.g

ANSYS, Solidworks

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Software tools

3. modeFRONTIER includes numerus algorithms

Software tool released in 2007

CAE, CAD integration e.g

ANSYS, Solidworks

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Making a point

Once the algorithm is presented via a software

tool engineers become more interested.

What engineer needs: less mathematics and

more integration capabilities with major CAE

codes.

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Human; not a very reliable decision-maker! (2)

Buying a house!

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Lots of feelings involved


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Human; the most reliable DM

Although human is not ideal for decision-making

but still is way more intelligent vs bees, ants,

immune and genetic operators.

Involving the human still is preferable

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Increasing the human reliability; visualization

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Visualization for MCDM

MCDM INTEGRATED WITH MECHANICAL MODELING OF DRAPING FOR

MATERIAL SELECTION OF TEXTILE COMPOSITES18


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Interactive methods; involving human

Evaluating the beauty is possible justwith human interaction

Just like my recent work; optimal

design of curve and surfaces

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NIMBUS methods

Limited integration & complication 20

d i lli i i i f i i


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RSO and intelligent optimization for interactive

decision-making

learning while optimizing; (R Battiti, 2010, 2012)

The human inteligence is integrated via advanced

Visualization tools 21


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Many thanks

22A.Mosavi, Interactive Multiobjective Optimization and Decision-Making, Product Design and Optimization Lab, MechatronicSystems Engineering, School of Engineering Science, Simon Fraser University, 2012.

optimal design and decision-making in practice

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