id 
caadria2018_065 
authors 
Makki, Mohammed and Showkatbakhsh, Milad 
year 
2018 
title 
Control of Morphological Variation Through Population Based Fitness Criteria 
source 
T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping  Proceedings of the 23rd CAADRIA Conference  Volume 1, Tsinghua University, Beijing, China, 1719 May 2018, pp. 153162 
summary 
A primary challenge for the application of an evolutionary process as a design tool is the ability to maintain variation amongst design solutions while simultaneously increasing in fitness. The 'golden rule' of balancing exploration versus exploitation of solutions within the population becomes more critical when the solution set is required to present a controlled degree of phenotypic variation but ensure that convergence of the solution set continues towards increased levels of fitness. The experiments presented within this paper address the control of variation throughout the simulation by means of incorporating a populationbased fitness criterion that is utilised as a fitness objective and is calculated dynamically throughout the algorithmic run in both single and multi objective design problems. 
keywords 
Architecture; Computation ; Evolution; Urban; Variation 
series 
CAADRIA 
email 
showkatbakhsh@aaschool.ac.uk 
full text 
file.pdf (13,072,819 bytes) 
references 
Contenttype: text/plain

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last changed 
2018/05/17 07:07 
