$"$My starting node is fixed, i$.$e$.,$ the first most element in the dataset is supposed to be my starting node"

I have dataset in the form of csv file, and it includes three columns, $1$st column $-$ name of the city, $2$nd column $-$ x coordinate, $3$rd column $-$ y coordinate.

I have to implement TSP using genetic algorithm and simmulated annealing.

The comand to run in the terminal is supposed to be in this format, python cs$581\_$P$01\_$AXXXXXXXX.py FILENAME ALGO P$1$ P$2$

where:

cs$581\_$P$01\_$AXXXXXXXX.py is your python code file name,

FILENAME is the input CSV file name $($graph G data$),$

ALGO is mode in which your program should operate

$1$ Simulated Annealing,

$2$ Genetic Algorithm,

P$1$ is a value for a specific algorithm parameter:

Simulated Annealing: P$1$ is the initial temperature T value,

Genetic Algorithm: P$1$ is the number of iterations K$,$

P$2$ is a value for a specific algorithm parameter:

Simulated Annealing: P$2$ is the $\backslash$alpha parameter for the temperature cooling schedule,

Genetic Algorithm: P$2$ is the mutation probability Pm value,

Example:

python cs$581\_$P$01\_$A$11111111.$py DATA.CSV $210000\mathrm{.}01$

If the number of arguments provided is NOT four your program should display the following error message:

ERROR: Not enough or too many input arguments.

Report results on screen in the following format:

Last Name, First Name, AXXXXXXXX solution:

Initial state: INITIAL

Simulated Annealing:

Command Line Parameters:

Initial solution: LABEL$1,$ LABEL$2,$ LABEL$3,...,$ LABELN$-1,$ LABELN

Final solution: LABEL$1,$ LABEL$2,$ LABEL$3,...,$ LABELN$-1,$ LABELN

Number of iterations: AAAA

Execution time: T$1$ seconds

Complete path cost: Y$1$

Genetic Algorithm:

Command Line Parameters:

Initial solution: LABEL$1,$ LABEL$2,$ LABEL$3,...,$ LABELN$-1,$ LABELN

Final solution: LABEL$1,$ LABEL$2,$ LABEL$3,...,$ LABELN$-1,$ LABELN

Number of iterations: AAAA

Execution time: T$2$ seconds

Complete path cost: Y$2$