Description

Builds and returns the bi-objective Kursawe test problem.

The Kursawe test problem is defined as follows:

Minimize f[1](X) = (-10 * exp(-0.2 * sqrt(x[1]^2 + x[2]^2)) + ... + (-10 * exp(-0.2 * sqrt(x[n - 1]^2 + x[n]^2))

Minimize f[2](X) = sum(abs(x)^0.8 + 5 * (sin(x))^3)

with -5 <= x[i] <= 5, for i = 1, 2, ..., n.

Usage

Arguments

Value

[smoof_multi_objective_function]

References

F. Kursawe. A Variant of Evolution Strategies for Vector Optimization. Proceedings of the International Conference on Parallel Problem Solving from Nature, pp. 193-197, Springer, 1990.