Hybrid Biogeography Based Optimization for Constrained Optimal Spot Color Matching

作者：Lin, Jian; Xu, Li^*; Zhang, Huiyuan

来源：Color Research and Application, 2014, 39(6): 607-615.

DOI：10.1002/col.21836

• color matching
• Kubelka-Munk theory
• biogeography based optimization
• constrained optimization
• spectrophotometric approach

Biogeography-based optimization (BBO) is a new evolutionary algorithm which mimics the immigration and emigration of species among islands. Used widely in packaging and printing to obtain a colorful appearance, the spot color matching (SCM) is formulated as a complex multi-dimensional optimization problem. In this article, BBO is combined with the harmony search (HS) and opposition-based learning (OBL) approaches to construct an effective hybrid algorithm for solving the SCM problem. HS is used to enhance the local searching ability of BBO, and OBL is employed to increase the diversity of initial population; consequently, the exploration and exploitation abilities of the hybrid algorithm are enhanced and well balanced. Experiment results are presented to show the effectiveness of the proposed scheme.

• 出版日期2014-12
• 单位浙江大学; 杭州电子科技大学