Chen, Hui, Miles, John Christopher and Kwan, Alan Shu Khen ![]() |
Abstract
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) |
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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 |
URI: | https://orca.cardiff.ac.uk/id/eprint/20809 |
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