gemseo.problems.multiobjective_optimization.fonseca_fleming module#
Fonseca-Fleming bi-objective optimization problem.
See [FF95].
\[\begin{split}\begin{aligned}
\text{minimize the objective function}
& f_1(x) = 1 - exp(-\sum_{i=1}^{d}((x_i - 1 / sqrt(d)) ^ 2)) \\
& f_2(x) = 1 + exp(-\sum_{i=1}^{d}((x_i + 1 / sqrt(d)) ^ 2)) \\
\text{with respect to the design variables}&x\\
\text{subject to the bound constraints}
& x\in[-4,4]^d
\end{aligned}\end{split}\]
- class FonsecaFleming(dimension=3)[source]#
Bases:
OptimizationProblem
Fonseca-Fleming multi-objective, bound constrained optimization problem.
- Parameters:
dimension (int) --
The design vector size.
By default it is set to 3.