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Postgraduate |
(ENG)
|
Leader: Y A Selercioglu
Offered:
Clayton First semester 2005 (Day)
Synopsis: Considerable success at solving complex, high dimensional search space, unstructured optimisation problems has been achieved by applying methods by natural evolutionary adaptation processes considered to be active in all biological life systems. Computational analogues of reproduction, cross-overs, mutations and fitness have been applied to create and select sets of potential solutions whose quality improves over many generation cycles which will be explored.
Assessment: Examination (3 hours): 70% + Laboratory and assignment work: 30%
Contact Hours: 26 lectures, 26 hours of practice classes and laboratory classes
Prohibitions: ECE4708