Constrained Particle Swarm Optimization

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Mudasser Seraj
Mudasser Seraj 2018-2-20
评论： Walter Roberson 2022-4-22
Hi,
I have 'N' particles with one-dimensional variable a(=accelration). However, each particle has a different range (lower limit, upper limit). If I want to use PSO to optimize the cost function which includes v (=valocity) and p (=postion) and inequality constraint of [position(N) - position (N-1) >= some value], then how should I do it?

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Walter Roberson
Walter Roberson 2018-2-20
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Danish Ali
Danish Ali 2022-4-22
Dear Walter,@Walter Roberson
Thank you. However, this code doesn't run well as compare to genetic algorithm. Is there any way, we can improve the results (I have tried Hybrid function too) ? Any suggestions will be appreciated.
Walter Roberson
Walter Roberson 2022-4-22
@Danish Ali
Is there mathematical reason to expect that particle swarm algorithms will run about as well as genetic algorithm in all cases? Or is there a restricted set of situations in which particle swarm is expected to be as good or better, and if so then does your particular situation fit within those cases?
@Lalit Upadhyaya
When the only constraints are LB and UB, then particleswarm() handles that. https://www.mathworks.com/help/gads/particleswarm.html

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