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_id	caadria2018_065
id	caadria2018_065
authors	Makki, Mohammed and Showkatbakhsh, Milad
year	2018
title	Control of Morphological Variation Through Population Based Fitness Criteria
doi	https://doi.org/10.52842/conf.caadria.2018.1.153
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, 17-19 May 2018, pp. 153-162
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 population-based 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
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last changed	2022/06/07 07:59

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