Yuan Yuan,Yew-Soon Ong,Liang Feng,A. K. Qin,Abhishek Gupta,Bingshui Da,Qingfu Zhang,Kay Chen Tan,Yaochu Jin,Hisao Ishibuchi
Abstract URL: http://arxiv.org/abs/1706.02766v1
In this report, we suggest nine test problems for multi-task multi-objective
optimization (MTMOO), each of which consists of two multiobjective optimization
tasks that need to be solved simultaneously. The relationship between tasks
varies between different test problems, which would be helpful to have a
comprehensive evaluation of the MO-MFO algorithms. It is expected that the
proposed test problems will germinate progress the field of the MTMOO research.