Download

  • B. Da, Y. S. Ong, L. Feng, A.K. Qin, A. Gupta, Z. Zhu, C. K. Ting, K. Tang, and X. Yao, "Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results", Technical Report, 2016. Available here to access the paper.

  • New Single-Objective MFO benchmark problems and baseline codes are available. Click here!


  • Y. Yuan, Y. S. Ong., L. Feng, A.K. Qin, A. Gupta., B. Da, Q. Zhang, K. C. Tan, Y. Jin, and H. Ishibuchi, "Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results", Technical Report, 2016. Available here to access the paper.

  • New Multi-Objective MFO benchmark problems and baseline codes are available. Click here!



    CEC 2017 Competition on Evolutionary Multi-task Optimization , IEEE Congress on Evolutionary Computation, 2017 June 5-8, Donostia - San Sebastian, Spain. Above problem sets are for CEC 2017.



    Source Code

    Matlab alpha version of MFEA can be downloaded here.

    Matlab beta version of MFEA for Continuous Optimization can be downloaded here.

    Matlab alpha version for multi-objective continuous optimization via multitasking MO-MFEA available here.