September 2018
Intermediate to advanced
328 pages
10h 46m
English
There are many varying theories for what each variable in Particle Swarm Optimization should look like. There are the theoretically acceptable values, and then there are the values determined over time with testing. The following are some of the recommendations I am making for your consideration.
The original (canonical) version of the Particle Swarm Optimization algorithm used values of 1, 2, and 2 respectively for Inertia, C1, and C2. These values do seem to work quite well. I have also found through testing, as have others, that values of 0.5, 1.5, and 1.5 respectively work even better, providing the best convergence rate depending upon the function and strategy used. Other values lead to slower or complete ...
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