A New Immune Clone Algorithm to solve the constrained optimization problems

作者：Zhou, Liang^*; Zheng, Jianguo

来源：Information-An International Interdisciplinary Journal, 2011, 14(3): 847-852.

• Constrained optimization
• Multi-object optimization
• Linear non-equilibrium recombination operator
• Immune
• Clone
• Preference difference
• Pareto optimization

A new improved artificial immune algorithm in this paper is proposed and then used for solving constrained optimization problems (COPs). This algorithm will treat these COPs as multi-objective optimization problems (MOPs), and then it is based on the concept of Pareto optimization to solve COPs. The mechanism of clone is imported into this new immune algorithm. The new improved immune algorithm also consists of some new concepts, such as linear non-equilibrium recombination operator and preference difference, which can build an efficient model for solving these MOPs. Simulation on some test functions show that the new immune clone algorithm can obtain better results compared with the existing algorithms.

• 出版日期2011-3
• 单位东华大学