Application of ant colony optimization algorithm to selection of clusters Partners for creative industry

Creative industry clusters are attracting particular interest as a result of the greater economic growth potential. The successful and effective creative industry clusters involve many factors, of which selection of clusters Partners is a critical issue. In general, the purpose of partner selection for creative industry clusters is to enhance the economical efficiency as much as possible while simultaneously quickly responding to and satisfying practical requirements. So this paper applies ant colony optimization algorithm to select clusters partners for creative industry based on the establishment of the multi-goal decision-making model using 0-1 integer programming. In addition, the paper presents an example to illustrate the validity of the proposed algorithm to select clusters partners for creative industry.