CEC2017MTO

Problem Difficulty Classification

Difficulty Mode	Training Set	Testing Set
easy	0, 1, 2, 3, 4, 5	6, 7, 8
difficult	6, 7, 8	0, 1, 2, 3, 4, 5

Note: When difficulty is ‘all’, both training and testing sets contain all problems (0-8).

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CEC2017MTO comprises 9 multi-task problem instances, each of which contains two basic problems. Optional basic problems include Shpere, Rosenbrock, Ackley, Rastrigin, Griewank, Weierstrass and Schwefel, with dimension ranging from 25D~50D.

• Paper：”Evolutionary multitasking for single-objective continuous optimization: Benchmark problems, performance metric, and baseline results.” arXiv preprint arXiv:1706.03470 (2017).

• Code Resource： CEC2017MTO

• Details

  

In MetaBox, we give three benchmark split difficulty mode of both train and test from the nine tasks of CEC2017 as easy, difficult and full. The benchmark split criterion is according to the complexity of degree of intersection and inter-task similarity.

• “easy”: train:[1,2,3,4,5,6] test:[7,8,9]

• “difficult”: train:[7,8,9] test:[1,2,3,4,5,6]

• “full”: train:[1,2,3,4,5,6,7,8,9] test:[1,2,3,4,5,6,7,8,9]