基于二次插值法的社会情感优化算法  

Social emotional optimization algorithm based on quadratic interpolation method

作　　者：武建娜[1,2] 崔志华[1,2,3] 刘静[1,2] 

机构地区：[1]太原科技大学计算机科学与技术学院,太原030024 [2]太原科技大学复杂系统与计算智能实验室,太原030024 [3]南京大学计算机软件新技术国家重点实验室,南京210093

出　　处：《计算机应用》2011年第9期2522-2525,2533,共5页journal of Computer Applications

基　　金：教育部科学技术研究重点项目(209021)

摘　　要：社会情感优化算法是一种模拟人类社会行为的新型群智能优化算法,算法中考虑了个体决策能力以及个体的情感对寻优结果的影响,因此算法的多样性比常见的群智能算法改善了很多,但是局部搜索能力还有待提高。二次插值法是一种局部搜索能力较强的搜索方法,把二次插值法引入社会情感优化算法,搜索效果会改善。通过使用测试函数对算法的优化性能进行测试,证明把二次插值法引入社会情感优化算法,可以使得社会情感优化算法的局部搜索能力增强,从而增强了社会情感优化算法的全局搜索能力。Social Emotional Optimization Algorithm （5EOA） is a new swarm intelligent population-based optimization algorithm to simulate the human social behaviors. The individual decision-making ability and individual emotion which have impact on optimization results were taken into account, so the diversity of the algorithm has been improved a lot than common swam intelligence algorithms. However, the local search capacity needs to be updated. Quadratic interpolation method is better-behaved in local search. Therefore, the introduction of it into SEOA will improve the search capability. According to the test for the optimization performance by using benchmark functions, it is proved that the local search ability can be improved by introducing quadratic interpolation method into SEOA, thus increasing the global search capability.

关 键 词：社会情感优化算法 个体决策能力 个体情感 二次插值法 全局搜索能力 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]