Optimization of a multi-objective function
Hello, everyone,
Please I am looking for the minimum of the multi-objective function given in the joined file.
If an analytical solution is possible, please, provide it. if it is not possible please say why, and use a numerical method(weighted sum method, Pareto optimality...). f1 is more important than f2 and f3. f2 and f3 are at the same level of importance.
Please give all the calculations and method details.
Answer
Answers can only be viewed under the following conditions:
- The questioner was satisfied with and accepted the answer, or
- The answer was evaluated as being 100% correct by the judge.
1 Attachment

4.8K
-
Leave a comment if you have any questions.
-
Good job
-
Does the function still convex if we don't neglect h ?
-
For the gradient decent method, you do not need convexity. The algorithm will converge. But I don't think putting the h there will make a sensible difference.
-
thanks very much
The answer is accepted.
Join Matchmaticians Affiliate Marketing
Program to earn up to a 50% commission on every question that your affiliated users ask or answer.
- answered
- 901 views
- $10.00
Related Questions
- How to parameterize an equation with 3 variables
- Notation question. Where does the x in the denominator come from?
- Application of Integrals
- Find the extrema of $f(x,y)=x$ subject to the constraint $x^2+2y^2=2$
- Find the limit as x --> +inf
- Optimization Quick Problem
- Equations of Motion and Partial Fractions
- calculus question