A GENETIC ALGORITHM APPROACH TO SPACE LAYOUT PLANNING OPTIMIZATION Hoda Homayouni.
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A GENETIC ALGORITHM APPROACH TO SPACE LAYOUT PLANNING OPTIMIZATION Hoda Homayouni
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Transcript of A GENETIC ALGORITHM APPROACH TO SPACE LAYOUT PLANNING OPTIMIZATION Hoda Homayouni.
A GENETIC ALGORITHM APPROACH TO SPACE LAYOUT PLANNING OPTIMIZATION
Hoda Homayouni
Outline
Space Layout Planning Introduction to Genetic Algorithm GASP: Structure
Space Layout Planning
Why computers?
Complexity of the large problems
Shortcomings of human mind in complex problems
Excellent rational and search ability of computers
Challenges
Ill defined problemsQualitative constraintsUsability for architects
Introduction to Genetic Algorithm
Why Genetic Algorithm??
Hill Climbing
local
global
Why Genetic Algorithm?
Multi-climbers
Why Genetic Algorithm?
Genetic algorithm
I am not at the top.My high is better!
I am at the top
Height is ...
I will continue
Why Genetic Algorithm?
Genetic algorithm few microseconds after
Components of a GA
Survival of the fittest
Encoding technique (gene, chromosome)Initialization procedure (creation)Genetic operators (mutation, crossover)Evaluation function (environment)Selection of parents (reproduction)
Genetic Operators
Crossover
Genetic Operators
Mutation
Parent Offspring
GA Phases
reproduction
population evaluation
modification
End
Stop?
Yes
No
Genetic Engineering
Genetic Algorithm Space Planner
GASP: Structure
Hierarchical growth approach
….
Building Layout
Room1 Room 2 Room N
Room Level Operations
Crossover
Room Level Operations
Fitness function
Area fitness Perimeter fitness Concavity fitness Proportion fitness
Creation of rooms in GASP
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Building Level Operations
Initialization
Building Level Operations
Crossover
Building Level Operations
Evolving Genes
Building Level Operations
Mutation
Building Level Operations
Fitness function
Area fitness Perimeter fitness Proportion fitness Adjacency fitness
Creation of a building layout in GASP
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Results
Results
Results
Results
Future Work
More fitness functions Interactive environment Multi-story layout problems More heuristic Methods
The End
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References
[1] http://galeb.etf.bg.ac.yu/~vm/GenAlgo.ppt [2]
http://web.umr.edu/~ercal/387/slides/GATutorial.ppt
Parameter Settings
Parameter Settings
Parameter Settings
Parameter Settings
Parameter Settings
Parameter Settings
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