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In this report, we suggest nine test problems for multi-task multi-objectiveoptimization (MTMOO), each of which consists of two multiobjective optimizationtasks that need to be solved simultaneously. The relationship between tasksvaries between different test problems, which would be helpful to have acomprehensive evaluation of the MO-MFO algorithms. It is expected that theproposed test problems will germinate progress the field of the MTMOO research.

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results