• Keine Ergebnisse gefunden

Exercise 4: Semi-Analytical Optimization Tasks

N/A
N/A
Protected

Academic year: 2021

Aktie "Exercise 4: Semi-Analytical Optimization Tasks"

Copied!
2
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

Exercise 4: Semi-Analytical Optimization Tasks

Summer Term 2019

At first glance, the optimization problems of this exercise look like analytical problems,but. . . Review: So far, we have considered two different types of optimization problems. These were:

1.

2.

To Do: Please, try to find the optima of the following applications, which are all given in an analytical form. Please answer the following questions for every task.

1. What are the difficulties?

2. How would you try to proceed?

Applications: Please consider the following problems:

1. f(x) =x2+ sin(x)

2. The figure presented below depicts an electrical power supply network consisting of a transformer (T), four houses (H1..4), and three distribution nodes (D1..3). The positions, i.e., thex andy coordinates, of the transformer and the houses are fixed and can be found in the figure. The positions of the distribution nodes, however, are flexible. The goal is to optimize the network such that its total length is minimal.

Transformer (3, 5)

House 4 (24, 20.6)

House 3 (22, 25.5) House 2 (16.2, 4.1)

Distributer 1

House 1 (10, 16.2)

x y

Distributer 2 Distributer 3

According to Pythagoras, the distance lpq between two points p and q is given as:

lpq = q(px−qx)2+ (py −qy)2. What is the total length L of the entire network?

Please, write down its formula:L(D1x, D1y, D2x, Dy2, Dx3, D3y)of the entire network.

Questions: Can you solve the equation for its six parameters? What is the problem?

1

(2)

Have fun, Theo and Ralf.

2

Referenzen

ÄHNLICHE DOKUMENTE

Finally, the assumption of regularity in the sense of Jongen, Jonker and Twilt is analysed for the presented embedding, and its genericity is proved, provided that it is formulated

The positions, i.e., the x and y coordinates, of the transformer and the houses are fixed and can be found in

After starting each one, it reads two integer numbers (e.g., 1, 2 but not 4.5) per input line, and reports the corresponding fitness value, also called function or objective

Now, that we got an idea how the algorithm works, we do better by using binary search to find a bottleneck matching that is only approximately of maximum cardinality. To test

Subsection 2.1 shows that nonsmooth sample performance functions do not necessarily lead t o nonsmooth expectation functions. Unfortunately, even the case when the

As an indication of how singularity-theory arguments can be employed to study constraint perturbations, let us examine the classical Kuhn-Tucker conditions using

Despite the wide variety of concrete formulations of stochastic optimization problems, generated by problems of the type (1.2) all of them may finally be reduced to the following

Разл ичие межд у д вумя эт ими в озм ожност ям и ст ановит ся осо­. бенно ясны м из сл ед ующих