Clone Selection Algorithm to Solve Preference Multi-Objective Optimization
求解偏好多目标优化的克隆选择算法

The difficulty of current multi-objective optimization community lies in the large number of objectives. Lacking enough selection pressure toward the Pareto front,classical algorithms are greatly restrained. In this paper,preference rank immune memory clone selection algorithm (PISA) is proposed to solve the problem of multi-objective optimization with a large number of objectives. The nondominated antibodies are proportionally cloned by their preference ranks,which are defined by their preference informati...