How exactly would I be able to paraphrase this pseudo-code so that it can make a bit more sense?   1.Initialtzation: generate a random solution X ← RandomSolution() 2. Solve the traffic assignment problem at equilibrium for each link: (flow, cost) ← NonLinearComplementary(X) 3. Evaluate the objective value for the current solution: f (X) ← EvaluateObj Val (f low, cost) 4. T ← Tmax 5 while (T > Tmin) do 6 I ← 1 7 while (t < ltermax)do 8 X' ← FindNeighborSolution(X) 9 (flow,cost) ← NonLinearComplementary(X') 10 f(X') ← EvaluateObf Val (f low, Cost) 11 Δ ←(f(x) - f(x')) 12 if(Δ<0)then 13 BoltzmannValue ← exp(-Δ/T) 14 if (BoltzmannValue < Random (0,1)) then 15 Accept the new solution: X ← X' 16 end If 17 Else I8 Accept the new solution: X ← X' 19 end if 20 i ← i+1 21 end while 22 T ←T ∞ 23 end while ________

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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How exactly would I be able to paraphrase this pseudo-code so that it can make a bit more sense?

 

1.Initialtzation: generate a random solution

X ← RandomSolution()

2. Solve the traffic assignment problem at equilibrium for each link:

(flow, cost) ← NonLinearComplementary(X)

3. Evaluate the objective value for the current solution:

f (X) ← EvaluateObj Val (f low, cost)

4. T ← Tmax

5 while (T > Tmin) do

6 I ← 1

7 while (t < ltermax)do

8 X' ← FindNeighborSolution(X)

9 (flow,cost) ← NonLinearComplementary(X')

10 f(X') ← EvaluateObf Val (f low, Cost)

11 Δ ←(f(x) - f(x'))

12 if(Δ<0)then

13 BoltzmannValue ← exp(-Δ/T)

14 if (BoltzmannValue < Random (0,1)) then

15 Accept the new solution: X ← X'

16 end If

17 Else

I8 Accept the new solution: X ← X'

19 end if

20 i ← i+1

21 end while

22 T ←T ∞

23 end while ________

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