Problems included in jMetalCpp

Problem families

ZDT benchmark

  • Number of problems: 6 (ZDT1 - ZDT6)
  • Reference: Zitzler, E., Deb, K., Thieler, L. Comparison of multiobjective evolutionary algorithms: Empirical results. IEEE Trans. on Evol. Computation 8 (2000) 173-195. Zitzler, E., Deb, K., Thieler, L. Comparison of multiobjective evolutionary algorithms: Empirical results. IEEE Trans. on Evol. Computation 8 (2000) 173-195.
  • Reference Pareto fronts: ZDT.tar.gz

DTLZ benchmark

  • Number of problems: 7 (DTLZ1 - DTLZ7)
  • Reference: K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization, Zurich, Switzerland, Tech. Rep. 112, 2001.
  • Reference Pareto fronts (2D): DTLZ.2D.tar.gz
  • Reference Pareto fronts (3D): DTLZ.3D.tar.gz

LZ09 benchmark

  • Number of problems: 9 (LZ09_F1 - LZ09_F9)
  • Reference: H. Li and Q. Zhang. Multiobjective Optimization Problems with Complicated Pareto Sets, MOEA/D and NSGA-II, IEEE Trans on Evolutionary Computation, 2(12):284-302, April 2009.
  • Reference Pareto fronts: LZ09.tar.gz

Unconstrained problems

Fonseca

  • Features: two objectives, 3 variables
  • Reference: BIBTEX.
  • Reference Pareto front: Fonseca.pf

Kursawe

  • Features: two objectives, N numbers of variables (default: N = 3)
  • Reference: BIBTEX.
  • Reference Pareto front: Kursawe.pf

Schaffer

  • Features: two objectives, 1 variables
  • Reference: BIBTEX.
  • Reference Pareto front: Schaffer.pf

Constrained problems

Tanaka

  • Features: 2 objectives, 2 variable, 2 constraints
  • Reference: BIBTEX.
  • Reference Pareto front: Tanaka.pf

Srinivas

  • Features: two objectives, 1 variable
  • Reference: BIBTEX.
  • Reference Pareto front: Srinivas.pf