Particle Swarm Optimization (PSO) - Annealing Algorithm - Engineering Assignment Help

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Assignment Task:

Question 1:

For the Particle Swarm Optimization (PSO) code added in canvas, investigate the following:

  1. Impact of w on algorithm performance (run 100, 1000, 10000 iterations)
  2. Impact of c1 and c2 on algorithm performance (run 100, 1000, 10000 iterations)
  3. Impact of agents on algorithm performance (run 100, 1000, 10000 iterations)

Question 2:

Run the Simulated Annealing algorithm with the following cooling schedule:

  1. Linear (run 100, 1000, 10000 iterations)
  2. Geometric (run 100, 1000, 10000 iterations)
  3. Logarithmic (run 100, 1000, 10000 iterations)
  4. Very slow cooling (run 100, 1000, 10000 iterations)
  5. Change the city sizes to the following: 50 (already given), 250, 500 (Geometric cooling schedule)
  6. Set max_temp = 100, 1000, 10000 (run 1000 iterations)

Question 3:

Make a comparison in results between the Iterative and Guided local search using the following metrics:

  1. Set max_no_improve to 10, 50, 100, 500 (run 1000, 2500, 10000 iterations)
  2. Change the city sizes to the following: 50 (already given), 250, 500

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  • Uploaded By : Mia
  • Posted on : February 27th, 2019
  • Downloads : 0

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