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

Abstract: Social Emotional Optimization Algorithm (SEOA) 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.

Key words: social emotional optimization algorithm, individual decision-making ability, individual emotion, quadratic interpolation method, global search capability