New Standard Particle Swarm Optimization Algorithm with Constraint Conditions
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Resource Overview
A novel standard particle swarm optimization algorithm incorporating constraint handling mechanisms - my first upload seeking technical community support and feedback on this constrained optimization approach!
Detailed Documentation
I would like to introduce a new standard particle swarm optimization algorithm with constraint conditions. This algorithm incorporates specific constraint handling mechanisms during problem-solving, enabling more accurate results for constrained optimization problems. The implementation typically involves penalty functions or feasibility-based rules to handle constraints while maintaining the standard PSO velocity and position update equations: v_i(t+1) = w*v_i(t) + c1*r1*(pbest_i - x_i(t)) + c2*r2*(gbest - x_i(t)). I hope to receive support and feedback from the technical community! This is my first upload, and I sincerely appreciate everyone's attention and assistance in evaluating this constrained PSO variant.
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