Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Two-Human CardiffGA: A new Multiple population genetic algorithm

Chen, Hui, Miles, John Christopher and Kwan, Alan Shu Khen ORCID: 2010. Two-Human CardiffGA: A new Multiple population genetic algorithm. Presented at: 2nd International Conference on Computer and Automation Engineering, Singapore, 26-28 February 2010. Published in: Mahadeven, V and Zhou, H. H. eds. Proceedings 2nd International Conference on Computer and Automation Engineering (ICCAE 2010), Singapore. , vol.1 Piscataway, NJ: IEEE, pp. 267-271.

Full text not available from this repository.


Based on the idea of making Genetic Algorithms more fully model the behaviour of real world populations, a new approach, called the CardiffGA, has been developed. In this method, each individual is given a life-span and an age, the population size is allowed to vary; and rather than generations, the concept of time steps is introduced with each individual living for a number of time steps. An additional feature is also discussed involving multiple populations which have to compete for a limited resource which can be thought of as ¿water¿. This together with an illness parameter and accidental death are used to study the behaviour of these populations. The result shows in a certain extent, Two-Human CGA is more efficient in searching the solution, although the successful rate need to improve.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Uncontrolled Keywords: Single CardiffGA; Two-human CardiffGA; illness; life-span; time-step
Publisher: IEEE
ISBN: 9781424455850
Last Modified: 05 Jul 2023 06:22

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item