Abstract: Solving problem by mimicking human’s creative thinking process has been one of the hotspots in artificial intelligence.According to the current researches about creative thinking,and also learning from the present nature-inspired algorithms,a novel intelligent algorithm named creativity driven optimization algorithm(CDOA) was proposed.First,the creativity driven optimization model was constructed and special operators were designed for its five sub-mo-dels.Then,the execution steps of CDOA were given out.In order to test CDOA’s effectiveness,eight CEC-2013 real-parameter benchmark functions were used.The optimization results of CDOA were compared with three state-of-the-art algorithms.The result shows that CDOA has an appealing optimization performance,especially on the complex composition functions.At last,an experiment was carried out to analyze the computation complexity of CDOA.The results indicate that CDOA has lower computation complexity than the other three comparison algorithms.

Key words: Creativity driven optimization algorithm,Creative thinking,Nature-inspired algorithm,Function optimization