Title :
Two-Human CardiffGA: a new multiple population genetic algorithm
Author :
Chen, Hui ; Miles, John C. ; Kwan, Alan S K
Author_Institution :
Eng. Sch., Cardiff Univ., Cardiff, UK
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.
Keywords :
genetic algorithms; accidental death; multiple population genetic algorithm; real world population behaviour; two human CardiffGA; Biological information theory; Biological system modeling; Encoding; Evolution (biology); Functional programming; Genetic algorithms; Genetic engineering; Life testing; Performance evaluation; Water resources; Single CardiffGA; Two-human CardiffGA; illness; life-span; time-step;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451954