This paper reports the work on the development of an animation system for visualising the optimisation process of the Genetic Algorithm. The description on the requirements and structure of the system is presented. The developed system is applied to visualise some six testing cases. Sequences of animation shots of the evolution process for solving the Branin RCOS problem and the Schaffer-6 problem are presented. In the latter example, the effect of a solution acceleration technique is also demonstrated. The method of building the visualisation system can be applied to other evolutionary computation techniques.
|Title of host publication||Simulated Evolution and Learning|
|Editors||B. Yao McKay, X. Newton, C.S. Kim, J.H. Furuhashi, T.|
|Place of Publication||Berlin Heidelberg|
|Publication status||Published - 1999|
|Name||Lecture notes in Artificial Intelligence|