The performance of the proposed particle swarm optimization algorithm is tested by random experiments. The experimental results show that the average deviation between the proposed PSO and the optimal ...

The current particle is created using the Particle constructor, and the position of the newly-created particle is examined to see if it's the best position of any of the particles in the swarm. After ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...