少数民族大学生心理健康状况研究——以北京邮电大学少数民族大学生为例

Binary Shuffled Frog Leaping Diversity for Opportunistic Algorithm in Population Spectrum Assignment

以北京邮电大学少数民族大学生为调查对象,从SCL-90症状自评量表结果中提取反映心理健康的6个因子分与最新全国大学生SCL-90常模相对应的因子分进行对比分析和研究。结果显示,少数民族大学生的心理健康水平显著低于全国大学生常模;是否为独生子女和是否有宗教信仰在心理健康水平上都存在显著差异。因此应该更加注重少数民族大学生的心理健康,尤其是学校,更应该尊重少数民族信仰并正确引导,加强对少数民族大学生的心理健康教育。

Binary shuffled frog leaping algorithm （BSFLA） in population diversity is proposed for a cog- nitive radio allocation model, which is a NP-hard problem. The integer coding manner and the searching method is applied in the shuffled frog leaping algorithm. BSFLA utilizes binary coding manner, explores application of the cultural orientation method to accomplish the searching for the optimal solution. Based on schemata theory, the population diversity is defined using hamming distance in order to judge the pre- mature phenomenon. When the premature phenomenon appears, the population reconstruction is done under the elitist retention conditions to avoid falling into the local optimal point. To demonstrate the effec- tiveness of the proposed algorithm, An experiment for contrast on 100 various network topologies is done. For three fitness functions, the success rates that the proposed algorithm is superior to particle swarm op- timization, genetic algorithm and quantum genetic algorithm are equal to 100% , 75% and 100% respec- tively.