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Interactive Layout Design Optimization Author: Jeremy J. Michalek Presented by: Hoda Homayouni

Interactive Layout Design Optimization Author: Jeremy J. Michalek Presented by: Hoda Homayouni

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Interactive Layout Design Optimization

Author: Jeremy J. MichalekPresented by: Hoda Homayouni

Introductiono An interactive design

tool that supports the designer by computationally optimizing aspects that can be modeled mathematically, while giving the designer control to make decisions influenced by subjective human judgment and intuition.

Design Toolso Interactive Design Tool: an

object oriented representation with an interface that allows the designer to interact with the building layout optimization problem.

o Automated Design Tool: uses a decomposition strategy to separate topological decisions from purely

geometric decisions.

Topology optimization Constraints:o Overlapo Connectivityo Patho Planarityo Envelope

Geometric OptimizationToolbox of Constraints:o Force Insideo Prohibit Intersectiono Force Minimum Intersectiono Force to Edgeo Bound Sizeo Bound Ratioo Feasible Windowo Bound Build Costo Bound Lighting

Design ObjectivesMinimizing:o Heating costo Cooling costo Lighting costo Wasted spaceo Accessway sizeo Hallway Size

Procedure1. Define Rooms &

Halls2. Move Rooms into

Rough Location3. Define Connections4. Choose an

Objective5. Add Additional Constraints

Procedure6. Optimizeo Topology

Constraints: Using GA

o Geometry Constraints: Using SA and SQP

Procedure7. Examine Results Estimate of:o performance costo build costo lifetime costo natural lighting levelo the living space

Procedure8. IterateManipulating the design by:o Changing the weights of each individual

objective.o Adding, deletingand modifying objectives, constraintsand Units. o Changing variableformulation

Procedureo A Hallway is reduced

Procedureo Third bedroom is added

Procedureo Visualizing Options:

Procedureo Visualizing Options

DiscussionCollaboration between the

designer and optimization algorithms:

oDesigner experience+ efficiency of gradient algorithms

oAvoiding computational traps

oExploring solutions and trade offs

oFilling the gap in computer design support