MSOPS-IIA: An Accelerated Version of MSOPS-II
Ruihua Geng, Jianhua Zhou, Shuqiang Yang · 2015
MSOPS-II is an excellent evolutionary optimizer capable of true many-objective optimization and free from the objective dimension barrier. It provides an automatic target vector generation scheme and a new fitness assignment method that including constraint information. This paper proposes MSOPS-IIA, which adds several modifications to the original MSOPS-II and is an accelerated version of MSOPS-II. These modifications include the evolutionary velocity deriving from the elites and a gradually decreasing mutation standard deviation. Experimental results show that MSOPS-IIA not only inherits the fine quality of MSOPS-II but also accelerates the convergence speed of MSOPS-II.