Output details

Limit Cycle Prediction Based on Evolutionary Multiobjective Formulation

<22> The work emerged out of research collaboration between Prof Serag Dean Katebi (Department of Computer Science and Engineering, Shiraz University, Iran) and Dr Hissam Tawfik further extended by Prof Katebi’s visit to Liverpool Hope University in 2009, and the involvement of the postgraduate researcher from Liverpool Hope. The research demonstrated that a limit cycle is formulated as a multiobjective problem can benefit from the heuristic search and optimisation power of a genetic algorithm and implies the potential benefit of using other evolutionary algorithmic paradigms such as parallel, symbiotic or multi-subpopulation forms of multiobjective evolutionary optimisation for limit cycle prediction.