- Jobs 1 2 3 4 W 4 5 3 3 5 P 12 8 15 9 Di 16 26 25 27 Where W Weight Of The Jobj P Processing Time Of Jobs D Due T 1 (28.49 KiB) Viewed 28 times
- Jobs 1 2 3 4 W 4 5 3 3 5 P 12 8 15 9 Di 16 26 25 27 Where W Weight Of The Jobj P Processing Time Of Jobs D Due T 2 (30.87 KiB) Viewed 28 times
- Jobs 1 2 3 4 W 4 5 3 3 5 P 12 8 15 9 Di 16 26 25 27 Where W Weight Of The Jobj P Processing Time Of Jobs D Due T 3 (30.87 KiB) Viewed 28 times
- Jobs 1 2 3 4 W 4 5 3 3 5 P 12 8 15 9 Di 16 26 25 27 Where W Weight Of The Jobj P Processing Time Of Jobs D Due T 4 (30.87 KiB) Viewed 28 times
- Jobs 1 2 3 4 W 4 5 3 3 5 P 12 8 15 9 Di 16 26 25 27 Where W Weight Of The Jobj P Processing Time Of Jobs D Due T 5 (30.87 KiB) Viewed 28 times
- Jobs 1 2 3 4 W 4 5 3 3 5 P 12 8 15 9 Di 16 26 25 27 Where W Weight Of The Jobj P Processing Time Of Jobs D Due T 6 (30.87 KiB) Viewed 28 times
Jobs 1 2 3 4 w/ 4 53 5 P 12 8 15 9 d 16 26 25 27 where w = weight of the job/ p-processing time of job d; = due time of job/ ||| SwT) Try to obtain a better schedule by manipulating the above schedule using Simulated Annealing method and code the algoritm with any high level language, preferably Java, C++, or Phyton. Explicitly indicate all the parameters you used (assumed) in the algorithm. Display the summary of the output you got Comment on the findings you found at the last iteration and compare the improvements you achieved with the finding at the first iteration